registry.json

{
  "version": "2.0",
  "generated": "2026-08-10T12:45:42.238213+00:00",
  "standard": "agent-skills-1.0",
  "total_skills": 165,
  "domains": [
    {
      "id": "ai-learning-science",
      "label": "AI & Learning Science",
      "skill_count": 14
    },
    {
      "id": "ai-literacy",
      "label": "AI Literacy",
      "skill_count": 7
    },
    {
      "id": "curriculum-alignment",
      "label": "Curriculum Alignment",
      "skill_count": 4
    },
    {
      "id": "curriculum-assessment",
      "label": "Curriculum & Assessment",
      "skill_count": 13
    },
    {
      "id": "eal-language-development",
      "label": "EAL & Language Development",
      "skill_count": 5
    },
    {
      "id": "environmental-experiential-learning",
      "label": "Environmental & Experiential Learning",
      "skill_count": 6
    },
    {
      "id": "explicit-instruction",
      "label": "Explicit Instruction",
      "skill_count": 5
    },
    {
      "id": "global-cross-cultural-pedagogies",
      "label": "Global & Cross-Cultural Pedagogies",
      "skill_count": 9
    },
    {
      "id": "historical-thinking",
      "label": "Historical Thinking",
      "skill_count": 10
    },
    {
      "id": "inclusive-design",
      "label": "Inclusive Design",
      "skill_count": 3
    },
    {
      "id": "literacy-critical-thinking",
      "label": "Literacy & Critical Thinking",
      "skill_count": 7
    },
    {
      "id": "memory-learning-science",
      "label": "Memory & Learning Science",
      "skill_count": 8
    },
    {
      "id": "montessori-alternative-approaches",
      "label": "Montessori & Alternative Approaches",
      "skill_count": 4
    },
    {
      "id": "original-frameworks",
      "label": "Original Frameworks",
      "skill_count": 17
    },
    {
      "id": "professional-learning",
      "label": "Professional Learning",
      "skill_count": 10
    },
    {
      "id": "questioning-discussion",
      "label": "Questioning & Discussion",
      "skill_count": 5
    },
    {
      "id": "self-regulated-learning",
      "label": "Self-Regulated Learning",
      "skill_count": 5
    },
    {
      "id": "student-learning",
      "label": "Student-Facing Learning Skills",
      "skill_count": 13
    },
    {
      "id": "systems-thinking",
      "label": "Systems Thinking",
      "skill_count": 8
    },
    {
      "id": "wellbeing-motivation-agency",
      "label": "Wellbeing, Motivation & Agency",
      "skill_count": 12
    }
  ],
  "skills": [
    {
      "id": "ai-learning-science/adaptive-hint-sequence-designer",
      "name": "adaptive-hint-sequence-designer",
      "display_name": "Adaptive Hint Sequence Designer",
      "domain": "ai-learning-science",
      "description": "Generate a cascading hint sequence for a problem type, revealing progressively without giving answers. Use when designing tutoring dialogues or scaffolded worksheets.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "hints",
        "scaffolding",
        "ITS",
        "VanLehn",
        "Aleven",
        "adaptive",
        "tutoring",
        "cognitive-tutor"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "intelligent-tutoring-dialogue-designer",
        "productive-failure-desirable-difficulty-designer",
        "worked-example-fading-designer",
        "formative-assessment-loop-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-learning-science/adaptive-hint-sequence-designer/SKILL.md"
    },
    {
      "id": "ai-learning-science/ai-facilitated-collaborative-learning-designer",
      "name": "ai-facilitated-collaborative-learning-designer",
      "display_name": "AI-Facilitated Collaborative Learning Designer",
      "domain": "ai-learning-science",
      "description": "Design AI-supported collaborative tasks that structure group interaction and address participation problems. Use when students struggle to collaborate effectively on group tasks.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "collaboration",
        "CSCL",
        "Dillenbourg",
        "J\u00e4rvel\u00e4",
        "cooperative-learning",
        "Slavin",
        "group-work",
        "AI-facilitation",
        "regulation"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "intelligent-tutoring-dialogue-designer",
        "ai-feedback-design-principles",
        "metacognitive-monitoring-ai-contexts"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-learning-science/ai-facilitated-collaborative-learning-designer/SKILL.md"
    },
    {
      "id": "ai-learning-science/ai-feedback-design-principles",
      "name": "ai-feedback-design-principles",
      "display_name": "AI Feedback Design Principles",
      "domain": "ai-learning-science",
      "description": "Audit and redesign AI-generated feedback for pedagogical quality, timing, and learning impact. Use when building or reviewing automated feedback in digital learning tools.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "feedback",
        "AI-feedback",
        "formative",
        "Shute",
        "Narciss",
        "Hattie",
        "LLM",
        "automated-feedback"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "adaptive-hint-sequence-designer",
        "formative-assessment-loop-designer",
        "intelligent-tutoring-dialogue-designer",
        "self-explanation-prompt-designer",
        "technological-pedagogical-content-knowledge-developer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-learning-science/ai-feedback-design-principles/SKILL.md"
    },
    {
      "id": "ai-learning-science/cognitive-tutoring-architecture-designer",
      "name": "cognitive-tutoring-architecture-designer",
      "display_name": "Cognitive Tutoring Architecture Designer",
      "domain": "ai-learning-science",
      "description": "Map knowledge components and skill hierarchies for a cognitive tutoring system or adaptive learning platform. Use when designing intelligent tutoring software or skill-based mastery systems.",
      "disable_model_invocation": true,
      "evidence_strength": "strong",
      "tags": [
        "cognitive-tutor",
        "ACT-R",
        "Anderson",
        "knowledge-tracing",
        "Corbett",
        "mastery",
        "ITS",
        "adaptive"
      ],
      "teacher_time": "6 minutes",
      "chains_with": [
        "adaptive-hint-sequence-designer",
        "intelligent-tutoring-dialogue-designer",
        "formative-assessment-loop-designer",
        "worked-example-to-problem-solving-transition-designer",
        "technological-pedagogical-content-knowledge-developer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-learning-science/cognitive-tutoring-architecture-designer/SKILL.md"
    },
    {
      "id": "ai-learning-science/digital-worked-example-sequence",
      "name": "digital-worked-example-sequence",
      "display_name": "Digital Worked Example Sequence",
      "domain": "ai-learning-science",
      "description": "Create an interactive digital worked example sequence with fading for online or blended delivery. Use when building e-learning modules, LMS content, or app-based instruction.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "worked-examples",
        "fading",
        "digital-learning",
        "CLT",
        "Sweller",
        "Renkl",
        "self-explanation",
        "multimedia"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "adaptive-hint-sequence-designer",
        "erroneous-example-designer",
        "worked-example-to-problem-solving-transition-designer",
        "cognitive-load-analyser"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-learning-science/digital-worked-example-sequence/SKILL.md"
    },
    {
      "id": "ai-learning-science/erroneous-example-designer",
      "name": "erroneous-example-designer",
      "display_name": "Erroneous Example Designer",
      "domain": "ai-learning-science",
      "description": "Design deliberately flawed examples that develop error-detection skills and deepen understanding. Use when students make characteristic errors and need practice spotting mistakes.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "erroneous-examples",
        "McLaren",
        "error-detection",
        "worked-examples",
        "misconceptions",
        "self-explanation"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "adaptive-hint-sequence-designer",
        "worked-example-fading-designer",
        "self-explanation-prompt-designer",
        "diagnostic-question-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-learning-science/erroneous-example-designer/SKILL.md"
    },
    {
      "id": "ai-learning-science/formative-assessment-loop-designer",
      "name": "formative-assessment-loop-designer",
      "display_name": "Formative Assessment Loop Designer for AI Systems",
      "domain": "ai-learning-science",
      "description": "Design an adaptive assessment loop where each student response triggers the next instructional move. Use when building technology-enhanced formative assessment cycles.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "formative-assessment",
        "Black-Wiliam",
        "assessment-loop",
        "adaptive",
        "feedback",
        "VanLehn",
        "inner-loop",
        "outer-loop"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "adaptive-hint-sequence-designer",
        "ai-feedback-design-principles",
        "learning-analytics-interpretation-guide",
        "cognitive-tutoring-architecture-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-learning-science/formative-assessment-loop-designer/SKILL.md"
    },
    {
      "id": "ai-learning-science/individual-spacing-algorithm-explainer",
      "name": "individual-spacing-algorithm-explainer",
      "display_name": "Individual Spacing Algorithm Explainer",
      "domain": "ai-learning-science",
      "description": "Explain and configure individual spacing algorithms using student performance data and forgetting curves. Use when personalising retention schedules in adaptive learning platforms.",
      "disable_model_invocation": true,
      "evidence_strength": "strong",
      "tags": [
        "spacing",
        "spaced-repetition",
        "forgetting-curve",
        "Ebbinghaus",
        "Lindsey",
        "Duolingo",
        "retention",
        "memory",
        "algorithm"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "adaptive-hint-sequence-designer",
        "formative-assessment-loop-designer",
        "retrieval-practice-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-learning-science/individual-spacing-algorithm-explainer/SKILL.md"
    },
    {
      "id": "ai-learning-science/intelligent-tutoring-dialogue-designer",
      "name": "intelligent-tutoring-dialogue-designer",
      "display_name": "Intelligent Tutoring Dialogue Designer",
      "domain": "ai-learning-science",
      "description": "Script a multi-turn tutoring dialogue with branching responses for anticipated student difficulties. Use when designing AI tutors, chatbot interactions, or structured one-to-one support scripts.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "tutoring",
        "dialogue",
        "ITS",
        "VanLehn",
        "AutoTutor",
        "Graesser",
        "Chi",
        "ICAP",
        "mixed-initiative"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "adaptive-hint-sequence-designer",
        "self-explanation-prompt-designer",
        "ai-feedback-design-principles",
        "cognitive-tutoring-architecture-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-learning-science/intelligent-tutoring-dialogue-designer/SKILL.md"
    },
    {
      "id": "ai-learning-science/learning-analytics-interpretation-guide",
      "name": "learning-analytics-interpretation-guide",
      "display_name": "Learning Analytics Interpretation Guide",
      "domain": "ai-learning-science",
      "description": "Interpret learning analytics data and translate dashboard findings into actionable teaching decisions. Use when reviewing LMS data, quiz patterns, or engagement metrics.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "analytics",
        "data",
        "formative",
        "Siemens",
        "Wiliam",
        "data-literacy",
        "assessment",
        "interpretation"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "formative-assessment-loop-designer",
        "ai-feedback-design-principles",
        "retrieval-practice-designer",
        "diagnostic-question-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-learning-science/learning-analytics-interpretation-guide/SKILL.md"
    },
    {
      "id": "ai-learning-science/metacognitive-monitoring-ai-contexts",
      "name": "metacognitive-monitoring-ai-contexts",
      "display_name": "Metacognitive Monitoring in AI Contexts",
      "domain": "ai-learning-science",
      "description": "Design metacognitive checkpoints that prevent AI-assisted learning from bypassing genuine understanding. Use when students use AI tools and may overestimate their own comprehension.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "metacognition",
        "self-regulation",
        "Dunning-Kruger",
        "overconfidence",
        "AI-literacy",
        "Winne",
        "Thiede",
        "calibration"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "self-explanation-prompt-designer",
        "ai-feedback-design-principles",
        "productive-failure-desirable-difficulty-designer",
        "formative-assessment-loop-designer",
        "ai-learning-boundary-mapper",
        "ai-output-critical-audit-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-learning-science/metacognitive-monitoring-ai-contexts/SKILL.md"
    },
    {
      "id": "ai-learning-science/productive-failure-desirable-difficulty-designer",
      "name": "productive-failure-desirable-difficulty-designer",
      "display_name": "Productive Failure & Desirable Difficulty Designer",
      "domain": "ai-learning-science",
      "description": "Redesign a direct instruction sequence to include productive struggle before the explanation phase. Use when teaching concepts that benefit from failure-first approaches.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "productive-failure",
        "desirable-difficulty",
        "Kapur",
        "Bjork",
        "struggle",
        "generation",
        "consolidation",
        "cognitive-offloading"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "adaptive-hint-sequence-designer",
        "worked-example-to-problem-solving-transition-designer",
        "self-explanation-prompt-designer",
        "intelligent-tutoring-dialogue-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-learning-science/productive-failure-desirable-difficulty-designer/SKILL.md"
    },
    {
      "id": "ai-learning-science/self-explanation-prompt-designer",
      "name": "self-explanation-prompt-designer",
      "display_name": "Self-Explanation Prompt Designer",
      "domain": "ai-learning-science",
      "description": "Create self-explanation prompts that deepen understanding of worked examples, texts, or diagrams. Use when students read material passively without engaging with underlying principles.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "self-explanation",
        "Chi",
        "metacognition",
        "worked-examples",
        "comprehension",
        "deep-learning",
        "generation"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "digital-worked-example-sequence",
        "adaptive-hint-sequence-designer",
        "intelligent-tutoring-dialogue-designer",
        "metacognitive-monitoring-ai-contexts"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-learning-science/self-explanation-prompt-designer/SKILL.md"
    },
    {
      "id": "ai-learning-science/worked-example-to-problem-solving-transition-designer",
      "name": "worked-example-to-problem-solving-transition-designer",
      "display_name": "Worked Example to Problem Solving Transition Designer",
      "domain": "ai-learning-science",
      "description": "Design the transition from worked examples to independent problem-solving using expertise-reversal principles. Use when students follow examples but cannot solve problems alone.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "expertise-reversal",
        "Kalyuga",
        "fading",
        "worked-examples",
        "Renkl",
        "transition",
        "scaffolding",
        "cognitive-load"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "digital-worked-example-sequence",
        "adaptive-hint-sequence-designer",
        "cognitive-tutoring-architecture-designer",
        "productive-failure-desirable-difficulty-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-learning-science/worked-example-to-problem-solving-transition-designer/SKILL.md"
    },
    {
      "id": "ai-literacy/ai-expertise-interrogation-designer",
      "name": "ai-expertise-interrogation-designer",
      "display_name": "AI Expertise Interrogation Designer",
      "domain": "ai-literacy",
      "description": "Design a Funhouse Mirror activity where students use their own domain expertise to detect AI distortions, omissions, and overconfidence. Use when students know a subject well enough to evaluate AI claims about it.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "AI-literacy",
        "expertise",
        "distortion",
        "Funhouse-Mirror",
        "metacognition",
        "Dunning-Kruger",
        "domain-knowledge"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "metacognitive-monitoring-ai-contexts",
        "ai-output-critical-audit-designer",
        "pedagogical-content-knowledge-developer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-literacy/ai-expertise-interrogation-designer/SKILL.md"
    },
    {
      "id": "ai-literacy/ai-hallucination-fact-check-protocol",
      "name": "ai-hallucination-fact-check-protocol",
      "display_name": "AI Hallucination Fact-Check Protocol",
      "domain": "ai-literacy",
      "description": "Design a fact-checking protocol for AI-generated text, extending SIFT with AI-specific adaptations for hallucination detection. Use when students need to verify AI claims and citations.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "AI-literacy",
        "hallucination",
        "fact-checking",
        "SIFT",
        "lateral-reading",
        "AI-citations",
        "verification"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "source-credibility-evaluation-protocol",
        "ai-output-critical-audit-designer",
        "media-literacy-deconstruction-protocol"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-literacy/ai-hallucination-fact-check-protocol/SKILL.md"
    },
    {
      "id": "ai-literacy/ai-learning-boundary-mapper",
      "name": "ai-learning-boundary-mapper",
      "display_name": "AI Learning Boundary Mapper",
      "domain": "ai-literacy",
      "description": "Map which elements of an assignment benefit from AI assistance vs. which AI use undermines. Use when redesigning tasks for AI-age classrooms or setting defensible AI use policies for specific assignments.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "AI-literacy",
        "assignment-design",
        "AI-policy",
        "backward-design",
        "tool-selection",
        "learning-objectives",
        "AI-boundaries"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "metacognitive-monitoring-ai-contexts",
        "backwards-design-unit-planner",
        "assessment-validity-checker"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-literacy/ai-learning-boundary-mapper/SKILL.md"
    },
    {
      "id": "ai-literacy/ai-output-critical-audit-designer",
      "name": "ai-output-critical-audit-designer",
      "display_name": "AI Output Critical Audit Designer",
      "domain": "ai-literacy",
      "description": "Design a structured protocol for auditing AI-generated text against Ennis's six CT standards. Use when students need to critically evaluate AI output in any subject.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "AI-literacy",
        "critical-thinking",
        "Ennis",
        "audit",
        "annotation",
        "AI-output",
        "hallucination",
        "epistemic"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "critical-thinking-task-designer",
        "source-credibility-evaluation-protocol",
        "elaborative-interrogation-generator",
        "ai-hallucination-fact-check-protocol"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-literacy/ai-output-critical-audit-designer/SKILL.md"
    },
    {
      "id": "ai-literacy/ai-socratic-dialogue-designer",
      "name": "ai-socratic-dialogue-designer",
      "display_name": "AI Socratic Dialogue Designer",
      "domain": "ai-literacy",
      "description": "Design a multi-round questioning sequence for interrogating AI chatbot answers, tracking how responses shift and distinguishing genuine updates from sycophantic capitulation. Use when teaching students to probe AI critically.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "AI-literacy",
        "Socratic-questioning",
        "sycophancy",
        "AI-behaviour",
        "critical-thinking",
        "multi-round",
        "capitulation"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "socratic-questioning-sequence-generator",
        "ai-output-critical-audit-designer",
        "critical-thinking-task-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-literacy/ai-socratic-dialogue-designer/SKILL.md"
    },
    {
      "id": "ai-literacy/disciplinary-ai-literacy-sequence-designer",
      "name": "disciplinary-ai-literacy-sequence-designer",
      "display_name": "Disciplinary AI Literacy Sequence Designer",
      "domain": "ai-literacy",
      "description": "Design a sequence where students compare AI's handling of the same question across disciplines, developing a mental model of where AI is reliable vs. distorting based on knowledge type.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "AI-literacy",
        "disciplinary-thinking",
        "knowledge-types",
        "Bernstein",
        "Willingham",
        "domain-specificity",
        "AI-reliability"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "kud-knowledge-type-mapper",
        "curriculum-knowledge-architecture-designer",
        "ai-output-critical-audit-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-literacy/disciplinary-ai-literacy-sequence-designer/SKILL.md"
    },
    {
      "id": "ai-literacy/prompt-literacy-sequence-designer",
      "name": "prompt-literacy-sequence-designer",
      "display_name": "Prompt Literacy Sequence Designer",
      "domain": "ai-literacy",
      "description": "Design a learning sequence teaching prompt quality \u2014 comparing vague vs. refined prompts to show why specificity and context transform AI output. Use when students use AI without understanding why output quality varies.",
      "disable_model_invocation": false,
      "evidence_strength": "low-moderate",
      "tags": [
        "AI-literacy",
        "prompt-engineering",
        "prompt-literacy",
        "specificity",
        "AI-use",
        "context",
        "constraints"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "ai-output-critical-audit-designer",
        "metacognitive-monitoring-ai-contexts",
        "explicit-instruction-sequence-builder"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/ai-literacy/prompt-literacy-sequence-designer/SKILL.md"
    },
    {
      "id": "curriculum-alignment/coverage-audit",
      "name": "coverage-audit",
      "display_name": "Coverage Audit",
      "domain": "curriculum-alignment",
      "description": "Takes a curriculum framework and a statutory or accreditation requirement list; produces a coverage table, gap summary, and CSV showing which framework content covers each requirement and where gaps exist.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "coverage-audit",
        "accreditation",
        "statutory-compliance",
        "curriculum-alignment",
        "gap-analysis"
      ],
      "teacher_time": "15 minutes",
      "chains_with": [
        "curriculum-crosswalk",
        "developmental-band-translator",
        "scope-and-sequence-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-alignment/coverage-audit/SKILL.md"
    },
    {
      "id": "curriculum-alignment/curriculum-crosswalk",
      "name": "curriculum-crosswalk",
      "display_name": "Curriculum Crosswalk",
      "domain": "curriculum-alignment",
      "description": "Compares two or more band-tagged frameworks and produces a framework-neutral topic matrix showing coverage and gaps across all inputs, plus an optional reference-centric PLC crosswalk document when a reference framework is supplied.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "curriculum-alignment",
        "crosswalk",
        "framework-comparison",
        "Webb-alignment",
        "Porter-content-analysis",
        "PLC",
        "source-voice-preservation"
      ],
      "teacher_time": "30 minutes",
      "chains_with": [
        "developmental-band-translator",
        "learning-progression-builder",
        "scope-and-sequence-designer",
        "curriculum-knowledge-architecture-designer",
        "gap-analysis-from-student-work"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-alignment/curriculum-crosswalk/SKILL.md"
    },
    {
      "id": "curriculum-alignment/developmental-band-translator",
      "name": "developmental-band-translator",
      "display_name": "Developmental Band Translator",
      "domain": "curriculum-alignment",
      "description": "Tags harness-decomposed curriculum items (KUDs, LTs, criteria) with a school's developmental band metadata while preserving source voice and labels. Supply the band schema; the skill derives mapping rules from it.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "developmental-bands",
        "curriculum-alignment",
        "band-mapping",
        "source-voice-preservation",
        "Wiggins-McTighe",
        "Vygotsky",
        "ZPD",
        "framework-translation"
      ],
      "teacher_time": "10 minutes",
      "chains_with": [
        "curriculum-crosswalk",
        "kud-knowledge-type-mapper",
        "learning-progression-builder",
        "competency-framework-translator",
        "scope-and-sequence-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-alignment/developmental-band-translator/SKILL.md"
    },
    {
      "id": "curriculum-alignment/kud-chart-author",
      "name": "kud-chart-author",
      "display_name": "KUD Chart Author",
      "domain": "curriculum-alignment",
      "description": "Authors or reviews Know/Understand/Do charts for competency-based learning targets across developmental bands. Handles seven input types from raw curriculum documents to existing LT sets. Routes to upstream skills when stronger inputs are available.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "KUD",
        "curriculum-design",
        "learning-targets",
        "Wiggins-McTighe",
        "backward-design",
        "progression",
        "assessment-design",
        "competency-based"
      ],
      "teacher_time": "15 minutes",
      "chains_with": [
        "learning-target-authoring-guide",
        "developmental-band-translator",
        "curriculum-crosswalk",
        "coherent-rubric-logic-builder",
        "criterion-referenced-rubric-generator",
        "learning-progression-builder",
        "competency-unpacker"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-alignment/kud-chart-author/SKILL.md"
    },
    {
      "id": "curriculum-assessment/assessment-validity-checker",
      "name": "assessment-validity-checker",
      "display_name": "Assessment Validity Checker",
      "domain": "curriculum-assessment",
      "description": "Audit a proposed assessment for construct validity, reliability, and alignment to learning objectives. Use when reviewing or quality-assuring assessments before deployment.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "validity",
        "reliability",
        "assessment-design",
        "quality-assurance",
        "measurement"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "criterion-referenced-rubric-generator",
        "formative-assessment-technique-selector",
        "competency-unpacker",
        "backwards-design-unit-planner",
        "curriculum-knowledge-architecture-designer",
        "kud-knowledge-type-mapper"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-assessment/assessment-validity-checker/SKILL.md"
    },
    {
      "id": "curriculum-assessment/backwards-design-unit-planner",
      "name": "backwards-design-unit-planner",
      "display_name": "Backwards Design Unit Planner",
      "domain": "curriculum-assessment",
      "description": "Plan a unit using backwards design from desired outcomes through assessment evidence to learning activities. Use when starting a new unit or redesigning an existing one from standards.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "UbD",
        "backwards-design",
        "unit-planning",
        "curriculum",
        "alignment"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "competency-unpacker",
        "criterion-referenced-rubric-generator",
        "formative-assessment-technique-selector",
        "explicit-instruction-sequence-builder",
        "curriculum-knowledge-architecture-designer",
        "kud-knowledge-type-mapper",
        "critical-thinking-task-designer",
        "scope-and-sequence-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-assessment/backwards-design-unit-planner/SKILL.md"
    },
    {
      "id": "curriculum-assessment/competency-unpacker",
      "name": "competency-unpacker",
      "display_name": "Competency Unpacker",
      "domain": "curriculum-assessment",
      "description": "Unpack a broad standard or competency descriptor into specific, assessable success criteria and sub-skills. Use when interpreting curriculum standards or writing learning objectives.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "competency",
        "standards",
        "success-criteria",
        "unpacking",
        "curriculum"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "backwards-design-unit-planner",
        "criterion-referenced-rubric-generator",
        "learning-progression-builder",
        "formative-assessment-technique-selector",
        "curriculum-knowledge-architecture-designer",
        "kud-knowledge-type-mapper",
        "scope-and-sequence-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-assessment/competency-unpacker/SKILL.md"
    },
    {
      "id": "curriculum-assessment/criterion-referenced-rubric-generator",
      "name": "criterion-referenced-rubric-generator",
      "display_name": "Criterion-Referenced Rubric Generator",
      "domain": "curriculum-assessment",
      "description": "Generate a criterion-referenced rubric with descriptive performance levels for a task or objective. Use for marking guides and general curriculum contexts. For Manning programmes where Competent = success, use coherent-rubric-logic-builder instead.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "rubric",
        "assessment",
        "criteria",
        "descriptive-language",
        "formative-assessment"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "competency-unpacker",
        "backwards-design-unit-planner",
        "gap-analysis-from-student-work",
        "feedback-quality-analyser",
        "kud-knowledge-type-mapper"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-assessment/criterion-referenced-rubric-generator/SKILL.md"
    },
    {
      "id": "curriculum-assessment/curriculum-knowledge-architecture-designer",
      "name": "curriculum-knowledge-architecture-designer",
      "display_name": "Curriculum Knowledge Architecture Designer",
      "domain": "curriculum-assessment",
      "description": "Map the epistemic structure of a subject to determine knowledge types and inform curriculum sequencing. Use when designing courses, restructuring programmes, or analysing knowledge architecture.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "knowledge-structure",
        "curriculum-architecture",
        "Bernstein",
        "epistemic-design",
        "hierarchical",
        "horizontal",
        "dispositional",
        "mixed-architecture",
        "AI-tutoring"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "learning-target-authoring-guide",
        "competency-framework-mapper",
        "scope-and-sequence-designer",
        "d2r-project-cycle-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-assessment/curriculum-knowledge-architecture-designer/SKILL.md"
    },
    {
      "id": "curriculum-assessment/differentiation-adapter",
      "name": "differentiation-adapter",
      "display_name": "Differentiation Adapter",
      "domain": "curriculum-assessment",
      "description": "Adapt a classroom task for specific learner needs while preserving the core learning objective intact. Use when differentiating for SEND, EAL, gifted, ADHD, dyslexia, or anxiety.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "differentiation",
        "UDL",
        "inclusion",
        "SEND",
        "adaptation"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "scaffolded-task-modifier",
        "cognitive-load-analyser",
        "formative-assessment-technique-selector",
        "practice-problem-sequence-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-assessment/differentiation-adapter/SKILL.md"
    },
    {
      "id": "curriculum-assessment/discipline-specific-critical-thinking-task-designer",
      "name": "discipline-specific-critical-thinking-task-designer",
      "display_name": "Discipline-Specific Critical Thinking Task Designer",
      "domain": "curriculum-assessment",
      "description": "Design discipline-specific critical thinking tasks grounded in knowledge-contingent reasoning rather than generic skills. Use when embedding higher-order thinking into subject content.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "critical-thinking",
        "disciplinary-thinking",
        "horizontal-knowledge",
        "knowledge-contingent",
        "task-design",
        "intellectual-resources",
        "Bailin",
        "Willingham",
        "domain-specific"
      ],
      "teacher_time": "10 minutes",
      "chains_with": [
        "curriculum-knowledge-architecture-designer",
        "kud-knowledge-type-mapper",
        "coherent-rubric-logic-builder",
        "learning-target-authoring-guide",
        "ai-output-critical-audit-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-assessment/discipline-specific-critical-thinking-task-designer/SKILL.md"
    },
    {
      "id": "curriculum-assessment/formative-assessment-technique-selector",
      "name": "formative-assessment-technique-selector",
      "display_name": "Formative Assessment Technique Selector",
      "domain": "curriculum-assessment",
      "description": "Select the right formative assessment technique for a specific learning moment, purpose, and age group. Use when choosing how to check understanding during, between, or after lessons.",
      "disable_model_invocation": true,
      "evidence_strength": "strong",
      "tags": [
        "formative-assessment",
        "checking-understanding",
        "AfL",
        "feedback",
        "responsive-teaching"
      ],
      "teacher_time": "2 minutes",
      "chains_with": [
        "hinge-question-designer",
        "checking-for-understanding-protocol-designer",
        "exit-ticket-designer",
        "explicit-instruction-sequence-builder",
        "kud-knowledge-type-mapper"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-assessment/formative-assessment-technique-selector/SKILL.md"
    },
    {
      "id": "curriculum-assessment/gap-analysis-from-student-work",
      "name": "gap-analysis-from-student-work",
      "display_name": "Gap Analysis from Student Work",
      "domain": "curriculum-assessment",
      "description": "Analyse student work against criteria to identify specific gaps between current performance and learning objectives. Use when reviewing submissions, planning feedback, or diagnosing learning needs.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "gap-analysis",
        "student-work",
        "formative-assessment",
        "feedback",
        "diagnostic"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "feedback-quality-analyser",
        "criterion-referenced-rubric-generator",
        "error-analysis-protocol",
        "practice-problem-sequence-designer",
        "kud-knowledge-type-mapper"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-assessment/gap-analysis-from-student-work/SKILL.md"
    },
    {
      "id": "curriculum-assessment/kud-knowledge-type-mapper",
      "name": "kud-knowledge-type-mapper",
      "display_name": "KUD Knowledge Type Mapper",
      "domain": "curriculum-assessment",
      "description": "Classify curriculum content into Know, Understand, and Do categories to align teaching and assessment approaches. Use when planning units, writing objectives, or selecting assessment methods.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "KUD",
        "knowledge-type",
        "assessment-routing",
        "Wiggins-McTighe",
        "Bernstein",
        "curriculum-mapping",
        "hierarchical",
        "horizontal",
        "dispositional",
        "backwards-design"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "curriculum-knowledge-architecture-designer",
        "learning-target-authoring-guide",
        "coherent-rubric-logic-builder",
        "dispositional-knowledge-assessment-designer",
        "developmental-band-system-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-assessment/kud-knowledge-type-mapper/SKILL.md"
    },
    {
      "id": "curriculum-assessment/learning-progression-builder",
      "name": "learning-progression-builder",
      "display_name": "Learning Progression Builder",
      "domain": "curriculum-assessment",
      "description": "Build a learning progression showing prerequisite-to-mastery steps for a target skill or understanding. Use when sequencing content, designing diagnostics, or mapping prerequisite gaps.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "learning-progressions",
        "trajectories",
        "prerequisites",
        "diagnostic",
        "curriculum-mapping"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "competency-unpacker",
        "formative-assessment-technique-selector",
        "practice-problem-sequence-designer",
        "backwards-design-unit-planner",
        "curriculum-knowledge-architecture-designer",
        "scope-and-sequence-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-assessment/learning-progression-builder/SKILL.md"
    },
    {
      "id": "curriculum-assessment/project-brief-designer",
      "name": "project-brief-designer",
      "display_name": "Project Brief Designer (PBL)",
      "domain": "curriculum-assessment",
      "description": "Design a project-based learning brief with a driving question, milestones, and assessment criteria. Use when planning PBL units, inquiry projects, or extended investigations.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "PBL",
        "project-based-learning",
        "inquiry",
        "driving-question",
        "authentic-assessment",
        "milestones"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "backwards-design-unit-planner",
        "competency-unpacker",
        "criterion-referenced-rubric-generator",
        "differentiation-adapter",
        "scaffolded-task-modifier",
        "curriculum-knowledge-architecture-designer",
        "critical-thinking-task-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-assessment/project-brief-designer/SKILL.md"
    },
    {
      "id": "curriculum-assessment/scope-and-sequence-designer",
      "name": "scope-and-sequence-designer",
      "display_name": "Scope and Sequence Designer",
      "domain": "curriculum-assessment",
      "description": "Design a scope and sequence showing vertical and horizontal curriculum coherence across a programme or year. Use when building new programmes, restructuring subjects, or ensuring progression.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "scope-and-sequence",
        "curriculum-coherence",
        "vertical-coherence",
        "learning-progressions",
        "programme-design",
        "Bruner",
        "spiral-curriculum",
        "knowledge-types",
        "prerequisite-sequencing",
        "KUD-charts"
      ],
      "teacher_time": "15 minutes",
      "chains_with": [
        "curriculum-knowledge-architecture-designer",
        "kud-knowledge-type-mapper",
        "kud-chart-author",
        "learning-target-authoring-guide",
        "developmental-band-system-designer",
        "backwards-design-unit-planner",
        "competency-unpacker",
        "learning-progression-builder",
        "gap-analysis-from-student-work"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/curriculum-assessment/scope-and-sequence-designer/SKILL.md"
    },
    {
      "id": "eal-language-development/academic-language-sentence-frame-generator",
      "name": "academic-language-sentence-frame-generator",
      "display_name": "Academic Language Sentence Frame Generator",
      "domain": "eal-language-development",
      "description": "Generate tiered sentence frames for academic tasks that scaffold language production across proficiency levels. Use when EAL students need structured language support for classroom discourse.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "sentence-frames",
        "academic-language",
        "EAL",
        "discourse-markers",
        "scaffolding"
      ],
      "teacher_time": "2 minutes",
      "chains_with": [
        "language-demand-analyser",
        "scaffolded-task-modifier",
        "vocabulary-tiering-tool",
        "disciplinary-writing-scaffold"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/eal-language-development/academic-language-sentence-frame-generator/SKILL.md"
    },
    {
      "id": "eal-language-development/language-demand-analyser",
      "name": "language-demand-analyser",
      "display_name": "Language Demand Analyser",
      "domain": "eal-language-development",
      "description": "Analyse the language demands of a classroom task to identify barriers for EAL and multilingual learners. Use when adapting tasks, planning support, or assessing linguistic accessibility.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "EAL",
        "language-demands",
        "BICS-CALP",
        "scaffolding",
        "academic-language"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "vocabulary-tiering-tool",
        "scaffolded-task-modifier",
        "academic-language-sentence-frame-generator",
        "cognitive-load-analyser"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/eal-language-development/language-demand-analyser/SKILL.md"
    },
    {
      "id": "eal-language-development/scaffolded-task-modifier",
      "name": "scaffolded-task-modifier",
      "display_name": "Scaffolded Task Modifier",
      "domain": "eal-language-development",
      "description": "Modify a classroom task with language scaffolds that preserve cognitive demand for EAL learners. Use when adapting existing tasks for students at different English proficiency levels.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "scaffolding",
        "EAL",
        "differentiation",
        "cognitive-demand",
        "task-modification"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "language-demand-analyser",
        "vocabulary-tiering-tool",
        "academic-language-sentence-frame-generator",
        "cognitive-load-analyser"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/eal-language-development/scaffolded-task-modifier/SKILL.md"
    },
    {
      "id": "eal-language-development/sheltered-instruction-lesson-modifier",
      "name": "sheltered-instruction-lesson-modifier",
      "display_name": "Sheltered Instruction Lesson Modifier",
      "domain": "eal-language-development",
      "description": "Modify a lesson plan using SIOP sheltered instruction principles to support language learners across all four skills. Use when planning lessons for classes that include EAL students.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "SIOP",
        "sheltered-instruction",
        "EAL",
        "lesson-planning",
        "content-language-integration"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "language-demand-analyser",
        "vocabulary-tiering-tool",
        "scaffolded-task-modifier",
        "academic-language-sentence-frame-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/eal-language-development/sheltered-instruction-lesson-modifier/SKILL.md"
    },
    {
      "id": "eal-language-development/vocabulary-tiering-tool",
      "name": "vocabulary-tiering-tool",
      "display_name": "Vocabulary Tiering Tool",
      "domain": "eal-language-development",
      "description": "Tier vocabulary from a text or topic into everyday, academic, and technical categories with teaching priorities. Use when pre-teaching vocabulary or identifying language barriers in a text.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "vocabulary",
        "tiering",
        "Tier-2",
        "academic-language",
        "EAL",
        "word-teaching"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "language-demand-analyser",
        "scaffolded-task-modifier",
        "text-complexity-analyser",
        "academic-language-sentence-frame-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/eal-language-development/vocabulary-tiering-tool/SKILL.md"
    },
    {
      "id": "environmental-experiential-learning/biophilic-learning-environment-designer",
      "name": "biophilic-learning-environment-designer",
      "display_name": "Biophilic Learning Environment Designer",
      "domain": "environmental-experiential-learning",
      "description": "Redesign a learning space using biophilic design principles to improve focus, calm, and wellbeing. Use when classroom environment contributes to restlessness, poor attention, or stress.",
      "disable_model_invocation": false,
      "evidence_strength": "emerging",
      "tags": [
        "biophilic-design",
        "Kellert",
        "Kaplan",
        "attention-restoration",
        "classroom-environment",
        "nature",
        "wellbeing"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "outdoor-learning-sequence-designer",
        "flow-state-condition-designer",
        "belonging-classroom-culture-designer",
        "ecological-inquiry-anchor-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/environmental-experiential-learning/biophilic-learning-environment-designer/SKILL.md"
    },
    {
      "id": "environmental-experiential-learning/ecological-inquiry-anchor-designer",
      "name": "ecological-inquiry-anchor-designer",
      "display_name": "Ecological Inquiry Anchor Designer",
      "domain": "environmental-experiential-learning",
      "description": "Design an inquiry sequence anchored in a local ecosystem that embeds science or geography curriculum content. Use when teaching through local living systems like gardens, ponds, or hedgerows.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "ecological-literacy",
        "Sobel",
        "Orr",
        "place-based",
        "environmental-education",
        "inquiry",
        "stewardship"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "outdoor-learning-sequence-designer",
        "place-based-inquiry-anchor",
        "phenomenon-based-unit-anchor",
        "biophilic-learning-environment-designer",
        "critical-thinking-task-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/environmental-experiential-learning/ecological-inquiry-anchor-designer/SKILL.md"
    },
    {
      "id": "environmental-experiential-learning/experiential-learning-cycle-designer",
      "name": "experiential-learning-cycle-designer",
      "display_name": "Experiential Learning Cycle Designer",
      "domain": "environmental-experiential-learning",
      "description": "Structure a direct experience into a full learning cycle with concrete experience, reflection, and conceptual transfer. Use when planning field trips, simulations, or practical tasks.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "experiential-learning",
        "simulation",
        "service-learning",
        "Dewey",
        "reflection",
        "direct-experience"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "service-learning-project-designer",
        "outdoor-learning-sequence-designer",
        "reflective-practice-prompt-generator",
        "agency-scaffold-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/environmental-experiential-learning/experiential-learning-cycle-designer/SKILL.md"
    },
    {
      "id": "environmental-experiential-learning/interdisciplinary-real-world-connection-mapper",
      "name": "interdisciplinary-real-world-connection-mapper",
      "display_name": "Interdisciplinary Real-World Connection Mapper",
      "domain": "environmental-experiential-learning",
      "description": "Map curriculum connections across multiple subjects for a real-world problem or authentic context. Use when planning cross-curricular projects or connecting content to real issues.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "interdisciplinary",
        "cross-curricular",
        "Barron",
        "Drake",
        "integrated-curriculum",
        "real-world",
        "PBL"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "phenomenon-based-unit-anchor",
        "project-brief-designer",
        "service-learning-project-designer",
        "ecological-inquiry-anchor-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/environmental-experiential-learning/interdisciplinary-real-world-connection-mapper/SKILL.md"
    },
    {
      "id": "environmental-experiential-learning/outdoor-learning-sequence-designer",
      "name": "outdoor-learning-sequence-designer",
      "display_name": "Outdoor Learning Sequence Designer",
      "domain": "environmental-experiential-learning",
      "description": "Design a structured outdoor learning sequence embedding curriculum objectives in an available outdoor space. Use when planning lessons in school grounds, parks, or local natural environments.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "outdoor-learning",
        "EEF",
        "Rickinson",
        "outside-classroom",
        "fieldwork",
        "nature",
        "experiential"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "ecological-inquiry-anchor-designer",
        "place-based-inquiry-anchor",
        "biophilic-learning-environment-designer",
        "awe-wonder-experience-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/environmental-experiential-learning/outdoor-learning-sequence-designer/SKILL.md"
    },
    {
      "id": "environmental-experiential-learning/service-learning-project-designer",
      "name": "service-learning-project-designer",
      "display_name": "Service Learning Project Designer",
      "domain": "environmental-experiential-learning",
      "description": "Design a service-learning project connecting genuine community need with embedded curriculum learning. Use when planning community projects, civic engagement, or social action units.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "service-learning",
        "Billig",
        "community",
        "civic-engagement",
        "experiential",
        "reflection",
        "social-responsibility"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "experiential-learning-cycle-designer",
        "interdisciplinary-real-world-connection-mapper",
        "ubuntu-collective-knowledge-task-designer",
        "agency-scaffold-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/environmental-experiential-learning/service-learning-project-designer/SKILL.md"
    },
    {
      "id": "explicit-instruction/checking-for-understanding-protocol-designer",
      "name": "checking-for-understanding-protocol-designer",
      "display_name": "Checking for Understanding Protocol Designer",
      "domain": "explicit-instruction",
      "description": "Design a checking-for-understanding protocol with specific techniques for each lesson stage. Use when planning systematic comprehension checks during explicit or direct instruction.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "formative-assessment",
        "checking-understanding",
        "questioning",
        "cold-calling",
        "feedback"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "explicit-instruction-sequence-builder",
        "hinge-question-designer",
        "formative-assessment-technique-selector",
        "retrieval-practice-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/explicit-instruction/checking-for-understanding-protocol-designer/SKILL.md"
    },
    {
      "id": "explicit-instruction/explicit-instruction-sequence-builder",
      "name": "explicit-instruction-sequence-builder",
      "display_name": "Explicit Instruction Sequence Builder (I Do / We Do / You Do)",
      "domain": "explicit-instruction",
      "description": "Build a complete explicit instruction sequence from teacher modelling through guided practice to independent work. Use when teaching new skills, procedures, or concepts through direct instruction.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "explicit-instruction",
        "gradual-release",
        "modelling",
        "direct-instruction",
        "scaffolding"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "checking-for-understanding-protocol-designer",
        "worked-example-fading-designer",
        "think-aloud-script-generator",
        "practice-problem-sequence-designer",
        "pedagogical-content-knowledge-developer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/explicit-instruction/explicit-instruction-sequence-builder/SKILL.md"
    },
    {
      "id": "explicit-instruction/lesson-opening-designer",
      "name": "lesson-opening-designer",
      "display_name": "Lesson Opening Designer",
      "domain": "explicit-instruction",
      "description": "Design a lesson opening that activates prior knowledge and connects previous learning to today's content. Use when planning lesson starters, retrieval openers, or advance organisers.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "lesson-opening",
        "retrieval",
        "prior-knowledge",
        "advance-organiser",
        "lesson-planning"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "retrieval-practice-generator",
        "explicit-instruction-sequence-builder",
        "spaced-practice-scheduler",
        "checking-for-understanding-protocol-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/explicit-instruction/lesson-opening-designer/SKILL.md"
    },
    {
      "id": "explicit-instruction/practice-problem-sequence-designer",
      "name": "practice-problem-sequence-designer",
      "display_name": "Practice Problem Sequence Designer",
      "domain": "explicit-instruction",
      "description": "Generate a scaffolded sequence of practice problems with graduated difficulty and strategic variability. Use when creating worksheets, homework sets, or independent practice materials.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "practice",
        "problem-design",
        "scaffolding",
        "variability",
        "desirable-difficulty"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "explicit-instruction-sequence-builder",
        "worked-example-fading-designer",
        "interleaving-unit-planner",
        "cognitive-load-analyser"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/explicit-instruction/practice-problem-sequence-designer/SKILL.md"
    },
    {
      "id": "explicit-instruction/think-aloud-script-generator",
      "name": "think-aloud-script-generator",
      "display_name": "Think-Aloud Script Generator",
      "domain": "explicit-instruction",
      "description": "Script a teacher think-aloud demonstrating expert reasoning processes for a specific task. Use when modelling problem-solving, writing, reading comprehension, or analytical processes.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "think-aloud",
        "modelling",
        "expert-thinking",
        "cognitive-apprenticeship",
        "comprehension"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "explicit-instruction-sequence-builder",
        "worked-example-fading-designer",
        "metacognitive-prompt-library",
        "reading-comprehension-strategy-selector",
        "pedagogical-content-knowledge-developer",
        "critical-thinking-task-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/explicit-instruction/think-aloud-script-generator/SKILL.md"
    },
    {
      "id": "global-cross-cultural-pedagogies/cpa-sequence-designer",
      "name": "cpa-sequence-designer",
      "display_name": "Concrete-Pictorial-Abstract Sequence Designer",
      "domain": "global-cross-cultural-pedagogies",
      "description": "Design a Concrete-Pictorial-Abstract learning sequence for a mathematical concept using manipulatives. Use when teaching maths through Singapore method or when students struggle with abstraction.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "CPA",
        "Singapore-maths",
        "Bruner",
        "manipulatives",
        "bar-model",
        "concreteness-fading",
        "mathematics"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "variation-theory-task-designer",
        "worked-example-fading-designer",
        "explicit-instruction-sequence-builder",
        "diagnostic-question-generator",
        "pedagogical-content-knowledge-developer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/global-cross-cultural-pedagogies/cpa-sequence-designer/SKILL.md"
    },
    {
      "id": "global-cross-cultural-pedagogies/cross-cultural-task-validity-checker",
      "name": "cross-cultural-task-validity-checker",
      "display_name": "Cross-Cultural Task Validity Checker",
      "domain": "global-cross-cultural-pedagogies",
      "description": "Check an educational practice or task for cultural bias, WEIRD assumptions, and cross-cultural validity. Use when adapting resources for diverse contexts or questioning universal claims.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "WEIRD-bias",
        "Henrich",
        "cross-cultural",
        "cultural-assumptions",
        "validity",
        "decolonising",
        "global-pedagogy"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "culturally-responsive-teaching-designer",
        "ubuntu-collective-knowledge-task-designer",
        "belonging-classroom-culture-designer",
        "phenomenon-based-unit-anchor"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/global-cross-cultural-pedagogies/cross-cultural-task-validity-checker/SKILL.md"
    },
    {
      "id": "global-cross-cultural-pedagogies/culturally-responsive-teaching-designer",
      "name": "culturally-responsive-teaching-designer",
      "display_name": "Culturally Responsive Teaching Designer",
      "domain": "global-cross-cultural-pedagogies",
      "description": "Redesign a lesson to centre students' cultural backgrounds, community knowledge, and lived experience. Use when making curriculum relevant and inclusive for diverse student populations.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "culturally-responsive",
        "Gay",
        "Ladson-Billings",
        "equity",
        "culturally-sustaining",
        "Hammond",
        "inclusion"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "ubuntu-collective-knowledge-task-designer",
        "place-based-inquiry-anchor",
        "belonging-classroom-culture-designer",
        "phenomenon-based-unit-anchor"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/global-cross-cultural-pedagogies/culturally-responsive-teaching-designer/SKILL.md"
    },
    {
      "id": "global-cross-cultural-pedagogies/emergent-project-design-scaffold",
      "name": "emergent-project-design-scaffold",
      "display_name": "Emergent Project Design Scaffold",
      "domain": "global-cross-cultural-pedagogies",
      "description": "Scaffold an emergent project from observed children's interests using Reggio-inspired approaches. Use when following children's fascinations into deeper inquiry in early years or primary settings.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "Reggio-Emilia",
        "emergent-curriculum",
        "project-approach",
        "Rinaldi",
        "Malaguzzi",
        "provocations",
        "early-years",
        "primary"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "reggio-documentation-protocol",
        "awe-wonder-experience-designer",
        "agency-scaffold-generator",
        "place-based-inquiry-anchor"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/global-cross-cultural-pedagogies/emergent-project-design-scaffold/SKILL.md"
    },
    {
      "id": "global-cross-cultural-pedagogies/phenomenon-based-unit-anchor",
      "name": "phenomenon-based-unit-anchor",
      "display_name": "Phenomenon-Based Unit Anchor",
      "domain": "global-cross-cultural-pedagogies",
      "description": "Anchor a multidisciplinary unit in a real-world phenomenon that requires multiple subject lenses to understand. Use when designing integrated or phenomenon-based units across disciplines.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "phenomenon-based-learning",
        "Finland",
        "POPS-2016",
        "Lonka",
        "cross-curricular",
        "interdisciplinary",
        "transversal-competences"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "project-brief-designer",
        "culturally-responsive-teaching-designer",
        "place-based-inquiry-anchor",
        "agency-scaffold-generator",
        "curriculum-knowledge-architecture-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/global-cross-cultural-pedagogies/phenomenon-based-unit-anchor/SKILL.md"
    },
    {
      "id": "global-cross-cultural-pedagogies/place-based-inquiry-anchor",
      "name": "place-based-inquiry-anchor",
      "display_name": "Place-Based Inquiry Anchor",
      "domain": "global-cross-cultural-pedagogies",
      "description": "Anchor curriculum learning in a specific local place with connections to community, culture, and identity. Use when connecting academic content to students' local environment and heritage.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "place-based",
        "Indigenous-education",
        "Castagno-Brayboy",
        "Gruenewald",
        "local",
        "land",
        "stewardship",
        "decolonising"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "culturally-responsive-teaching-designer",
        "ubuntu-collective-knowledge-task-designer",
        "phenomenon-based-unit-anchor",
        "awe-wonder-experience-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/global-cross-cultural-pedagogies/place-based-inquiry-anchor/SKILL.md"
    },
    {
      "id": "global-cross-cultural-pedagogies/reggio-documentation-protocol",
      "name": "reggio-documentation-protocol",
      "display_name": "Reggio Documentation Protocol",
      "domain": "global-cross-cultural-pedagogies",
      "description": "Design a pedagogical documentation protocol for making children's learning processes visible and shareable. Use when documenting learning, communicating with families, or planning next steps.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "Reggio-Emilia",
        "documentation",
        "Rinaldi",
        "Malaguzzi",
        "visible-learning-processes",
        "early-years",
        "primary",
        "observation"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "emergent-project-design-scaffold",
        "awe-wonder-experience-designer",
        "reflective-practice-prompt-generator",
        "lesson-observation-protocol-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/global-cross-cultural-pedagogies/reggio-documentation-protocol/SKILL.md"
    },
    {
      "id": "global-cross-cultural-pedagogies/ubuntu-collective-knowledge-task-designer",
      "name": "ubuntu-collective-knowledge-task-designer",
      "display_name": "Ubuntu Collective Knowledge Task Designer",
      "domain": "global-cross-cultural-pedagogies",
      "description": "Design learning tasks built on Ubuntu philosophy emphasising collective knowledge-building and mutual responsibility. Use when fostering collaboration that values community over individual competition.",
      "disable_model_invocation": false,
      "evidence_strength": "emerging",
      "tags": [
        "Ubuntu",
        "Mkabela",
        "African-philosophy",
        "collective-knowledge",
        "communalism",
        "community",
        "collaboration"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "culturally-responsive-teaching-designer",
        "belonging-classroom-culture-designer",
        "place-based-inquiry-anchor",
        "agency-scaffold-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/global-cross-cultural-pedagogies/ubuntu-collective-knowledge-task-designer/SKILL.md"
    },
    {
      "id": "global-cross-cultural-pedagogies/variation-theory-task-designer",
      "name": "variation-theory-task-designer",
      "display_name": "Variation Theory Task Designer",
      "domain": "global-cross-cultural-pedagogies",
      "description": "Design a variation theory task using contrast, separation, and fusion to teach critical features of a concept. Use when students confuse similar concepts or fail to discern key distinctions.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "variation-theory",
        "Marton",
        "discernment",
        "contrast",
        "critical-features",
        "Hong-Kong",
        "Sweden",
        "mathematics-education"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "explicit-instruction-sequence-builder",
        "worked-example-fading-designer",
        "cpa-sequence-designer",
        "diagnostic-question-generator",
        "curriculum-knowledge-architecture-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/global-cross-cultural-pedagogies/variation-theory-task-designer/SKILL.md"
    },
    {
      "id": "historical-thinking/central-historical-question-evaluator",
      "name": "central-historical-question-evaluator",
      "display_name": "Central Historical Question Evaluator",
      "domain": "historical-thinking",
      "description": "Evaluate a teacher-drafted central historical question for its capacity to drive genuine historical inquiry. Use when assessing whether a question will generate real evidence-weighing or produce shallow responses.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "historical-questions",
        "inquiry",
        "document-based-lessons",
        "historical-thinking",
        "lesson-design",
        "DIG"
      ],
      "teacher_time": "2 minutes",
      "chains_with": [
        "document-based-lesson-designer",
        "historical-document-set-curator",
        "historical-source-adapter",
        "sourcing-skill-builder",
        "corroboration-skill-builder",
        "backwards-design-unit-planner",
        "hinge-question-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/historical-thinking/central-historical-question-evaluator/SKILL.md"
    },
    {
      "id": "historical-thinking/close-reading-skill-builder",
      "name": "close-reading-skill-builder",
      "display_name": "Close Reading Skill Builder",
      "domain": "historical-thinking",
      "description": "Build students' capacity to read historical documents closely \u2014 attending to word choice, tone, and rhetoric as evidence of perspective. Use when students summarise sources without analysing language.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "close-reading",
        "historical-thinking",
        "disciplinary-literacy",
        "language-analysis",
        "document-analysis",
        "rhetoric",
        "DIG"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "sourcing-skill-builder",
        "contextualisation-skill-builder",
        "corroboration-skill-builder",
        "historical-thinking-strategy-modelling-guide",
        "document-based-lesson-designer",
        "historical-source-adapter",
        "historical-thinking-assessment-designer",
        "disciplinary-writing-scaffold",
        "text-complexity-analyser"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/historical-thinking/close-reading-skill-builder/SKILL.md"
    },
    {
      "id": "historical-thinking/contextualisation-skill-builder",
      "name": "contextualisation-skill-builder",
      "display_name": "Contextualisation Skill Builder",
      "domain": "historical-thinking",
      "description": "Build students' capacity to place historical documents in their temporal and social context. Use when students read sources without considering what was happening at the time, or know the context but don't deploy it.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "contextualisation",
        "historical-thinking",
        "disciplinary-literacy",
        "document-analysis",
        "chronological-reasoning",
        "DIG"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "sourcing-skill-builder",
        "close-reading-skill-builder",
        "corroboration-skill-builder",
        "historical-thinking-strategy-modelling-guide",
        "document-based-lesson-designer",
        "historical-thinking-assessment-designer",
        "lesson-opening-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/historical-thinking/contextualisation-skill-builder/SKILL.md"
    },
    {
      "id": "historical-thinking/corroboration-skill-builder",
      "name": "corroboration-skill-builder",
      "display_name": "Corroboration Skill Builder",
      "domain": "historical-thinking",
      "description": "Build students' capacity to compare accounts across multiple historical sources \u2014 identifying agreements, contradictions, and gaps. Use when students treat individual documents as complete answers rather than partial perspectives.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "corroboration",
        "historical-thinking",
        "disciplinary-literacy",
        "multi-document-reasoning",
        "evidence-weighing",
        "document-analysis",
        "DIG"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "sourcing-skill-builder",
        "close-reading-skill-builder",
        "contextualisation-skill-builder",
        "historical-thinking-strategy-modelling-guide",
        "document-based-lesson-designer",
        "historical-document-set-curator",
        "historical-thinking-assessment-designer",
        "argument-structure-scaffold-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/historical-thinking/corroboration-skill-builder/SKILL.md"
    },
    {
      "id": "historical-thinking/document-based-lesson-designer",
      "name": "document-based-lesson-designer",
      "display_name": "Document-Based Lesson Designer",
      "domain": "historical-thinking",
      "description": "Design a complete document-based history lesson using the Reading Like a Historian four-part structure. Use when planning a primary source inquiry lesson or converting a textbook lesson into document-based investigation.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "lesson-design",
        "document-based-lessons",
        "historical-thinking",
        "primary-sources",
        "disciplinary-literacy",
        "activity-structure",
        "RLH",
        "DIG"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "central-historical-question-evaluator",
        "historical-document-set-curator",
        "historical-source-adapter",
        "historical-thinking-strategy-modelling-guide",
        "sourcing-skill-builder",
        "close-reading-skill-builder",
        "contextualisation-skill-builder",
        "corroboration-skill-builder",
        "historical-thinking-assessment-designer",
        "backwards-design-unit-planner",
        "discussion-protocol-selector"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/historical-thinking/document-based-lesson-designer/SKILL.md"
    },
    {
      "id": "historical-thinking/historical-document-set-curator",
      "name": "historical-document-set-curator",
      "display_name": "Historical Document Set Curator",
      "domain": "historical-thinking",
      "description": "Design a document set for a document-based lesson \u2014 selecting and sequencing sources for analytical tension around a central question. Use when assembling sources for a new lesson or when an existing set produces flat responses.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "document-sets",
        "historical-thinking",
        "primary-sources",
        "source-selection",
        "lesson-design",
        "corroboration",
        "representation",
        "DIG"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "central-historical-question-evaluator",
        "historical-source-adapter",
        "document-based-lesson-designer",
        "historical-thinking-strategy-modelling-guide",
        "sourcing-skill-builder",
        "corroboration-skill-builder",
        "historical-thinking-assessment-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/historical-thinking/historical-document-set-curator/SKILL.md"
    },
    {
      "id": "historical-thinking/historical-source-adapter",
      "name": "historical-source-adapter",
      "display_name": "Historical Source Adapter",
      "domain": "historical-thinking",
      "description": "Adapt a historical primary source for classroom use \u2014 modifying complexity and length while preserving features for sourcing, close reading, and corroboration. Use when a primary source is too complex for the target age group.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "source-adaptation",
        "historical-thinking",
        "primary-sources",
        "accessibility",
        "disciplinary-literacy",
        "differentiation",
        "DIG"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "document-based-lesson-designer",
        "historical-document-set-curator",
        "central-historical-question-evaluator",
        "sourcing-skill-builder",
        "close-reading-skill-builder",
        "text-complexity-analyser",
        "vocabulary-tiering-tool",
        "language-demand-analyser",
        "scaffolded-task-modifier"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/historical-thinking/historical-source-adapter/SKILL.md"
    },
    {
      "id": "historical-thinking/historical-thinking-assessment-designer",
      "name": "historical-thinking-assessment-designer",
      "display_name": "Historical Thinking Assessment Designer",
      "domain": "historical-thinking",
      "description": "Design formative assessments that make students' historical thinking visible \u2014 revealing whether they source, close-read, contextualise, and corroborate. Use when assessing historical thinking skills or planning a diagnostic.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "assessment",
        "historical-thinking",
        "formative-assessment",
        "HATs",
        "diagnostic",
        "sourcing",
        "close-reading",
        "contextualisation",
        "corroboration",
        "DIG"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "document-based-lesson-designer",
        "sourcing-skill-builder",
        "close-reading-skill-builder",
        "contextualisation-skill-builder",
        "corroboration-skill-builder",
        "assessment-validity-checker",
        "formative-assessment-technique-selector",
        "criterion-referenced-rubric-generator",
        "gap-analysis-from-student-work",
        "historical-source-adapter"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/historical-thinking/historical-thinking-assessment-designer/SKILL.md"
    },
    {
      "id": "historical-thinking/historical-thinking-strategy-modelling-guide",
      "name": "historical-thinking-strategy-modelling-guide",
      "display_name": "Historical Thinking Strategy Modelling Guide",
      "domain": "historical-thinking",
      "description": "Design a teacher think-aloud that models historical thinking strategies with a specific document. Use when planning explicit strategy instruction or when students follow a protocol without understanding the underlying reasoning.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "modelling",
        "think-aloud",
        "historical-thinking",
        "explicit-instruction",
        "worked-example",
        "strategy-instruction",
        "DIG"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "sourcing-skill-builder",
        "close-reading-skill-builder",
        "contextualisation-skill-builder",
        "corroboration-skill-builder",
        "document-based-lesson-designer",
        "historical-source-adapter",
        "think-aloud-script-generator",
        "explicit-instruction-sequence-builder"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/historical-thinking/historical-thinking-strategy-modelling-guide/SKILL.md"
    },
    {
      "id": "historical-thinking/sourcing-skill-builder",
      "name": "sourcing-skill-builder",
      "display_name": "Sourcing Skill Builder",
      "domain": "historical-thinking",
      "description": "Build students' capacity to interrogate a historical source before reading \u2014 asking who authored it, when, why, and what this means for reliability. Use when students read documents without attending to authorship.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "sourcing",
        "historical-thinking",
        "primary-sources",
        "disciplinary-literacy",
        "document-analysis",
        "Wineburg",
        "DIG"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "close-reading-skill-builder",
        "contextualisation-skill-builder",
        "corroboration-skill-builder",
        "historical-thinking-strategy-modelling-guide",
        "document-based-lesson-designer",
        "historical-source-adapter",
        "historical-thinking-assessment-designer",
        "source-credibility-evaluation-protocol"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/historical-thinking/sourcing-skill-builder/SKILL.md"
    },
    {
      "id": "inclusive-design/udl-barrier-anticipator",
      "name": "udl-barrier-anticipator",
      "display_name": "UDL Barrier Anticipator",
      "domain": "inclusive-design",
      "description": "Predicts access barriers in a learning task before delivery, given a learner variability profile. Distinguishes between barriers addressable through design and those requiring specialist support.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "UDL",
        "inclusive-design",
        "barrier-analysis",
        "preventive-design",
        "access",
        "learner-variability",
        "CAST"
      ],
      "teacher_time": "5-10 minutes",
      "chains_with": [
        "inclusive-design/udl-lesson-auditor",
        "inclusive-design/udl-options-designer",
        "curriculum-assessment/differentiation-adapter",
        "curriculum-assessment/formative-assessment-technique-selector",
        "self-regulated-learning/self-regulation-scaffold-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/inclusive-design/udl-barrier-anticipator/SKILL.md"
    },
    {
      "id": "inclusive-design/udl-lesson-auditor",
      "name": "udl-lesson-auditor",
      "display_name": "UDL Lesson Auditor",
      "domain": "inclusive-design",
      "description": "Audits an existing lesson against UDL's three principles \u2014 engagement, representation, and action/expression. Identifies specific access barriers and suggests concrete modifications ranked by impact.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "UDL",
        "inclusive-design",
        "barrier-analysis",
        "access",
        "lesson-audit",
        "differentiation",
        "CAST"
      ],
      "teacher_time": "10-15 minutes",
      "chains_with": [
        "inclusive-design/udl-options-designer",
        "inclusive-design/udl-barrier-anticipator",
        "curriculum-assessment/differentiation-adapter",
        "curriculum-assessment/formative-assessment-technique-selector",
        "self-regulated-learning/self-regulation-scaffold-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/inclusive-design/udl-lesson-auditor/SKILL.md"
    },
    {
      "id": "inclusive-design/udl-options-designer",
      "name": "udl-options-designer",
      "display_name": "UDL Options Designer",
      "domain": "inclusive-design",
      "description": "Generates multiple means of engagement, representation, and action/expression for a given learning goal. Produces specific, practical alternatives \u2014 not generic options \u2014 and recommends the highest-impact single change.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "UDL",
        "inclusive-design",
        "options",
        "multiple-means",
        "access",
        "differentiation",
        "CAST"
      ],
      "teacher_time": "5-10 minutes",
      "chains_with": [
        "inclusive-design/udl-lesson-auditor",
        "inclusive-design/udl-barrier-anticipator",
        "curriculum-assessment/differentiation-adapter",
        "curriculum-assessment/formative-assessment-technique-selector",
        "self-regulated-learning/self-regulation-scaffold-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/inclusive-design/udl-options-designer/SKILL.md"
    },
    {
      "id": "literacy-critical-thinking/argument-structure-scaffold-generator",
      "name": "argument-structure-scaffold-generator",
      "display_name": "Argument Structure Scaffold Generator",
      "domain": "literacy-critical-thinking",
      "description": "Generate argument structure scaffolds using Toulmin, PEEL, or CER frameworks for a specific claim or question. Use when teaching argumentative or analytical writing across any subject.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "argument",
        "writing",
        "Toulmin",
        "PEEL",
        "scaffold",
        "critical-thinking"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "disciplinary-writing-scaffold",
        "critical-thinking-task-designer",
        "feedback-quality-analyser",
        "worked-example-fading-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/literacy-critical-thinking/argument-structure-scaffold-generator/SKILL.md"
    },
    {
      "id": "literacy-critical-thinking/critical-thinking-task-designer",
      "name": "critical-thinking-task-designer",
      "display_name": "Critical Thinking Task Designer",
      "domain": "literacy-critical-thinking",
      "description": "Design a critical thinking task targeting specific skills like evaluating evidence, identifying bias, or analysing arguments. Use when embedding critical analysis into subject lessons.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "critical-thinking",
        "analysis",
        "evaluation",
        "domain-specific",
        "higher-order-thinking"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "socratic-questioning-sequence-generator",
        "argument-structure-scaffold-generator",
        "source-credibility-evaluation-protocol",
        "discussion-protocol-selector",
        "ai-output-critical-audit-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/literacy-critical-thinking/critical-thinking-task-designer/SKILL.md"
    },
    {
      "id": "literacy-critical-thinking/disciplinary-writing-scaffold",
      "name": "disciplinary-writing-scaffold",
      "display_name": "Disciplinary Writing Scaffold",
      "domain": "literacy-critical-thinking",
      "description": "Create a writing scaffold teaching the genre conventions specific to an academic discipline. Use when students write lab reports, historical essays, or other discipline-specific text types.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "disciplinary-literacy",
        "writing",
        "genre-pedagogy",
        "scaffold",
        "academic-language"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "argument-structure-scaffold-generator",
        "vocabulary-tiering-tool",
        "academic-language-sentence-frame-generator",
        "text-complexity-analyser",
        "pedagogical-content-knowledge-developer",
        "critical-thinking-task-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/literacy-critical-thinking/disciplinary-writing-scaffold/SKILL.md"
    },
    {
      "id": "literacy-critical-thinking/media-literacy-deconstruction-protocol",
      "name": "media-literacy-deconstruction-protocol",
      "display_name": "Media Literacy Deconstruction Protocol",
      "domain": "literacy-critical-thinking",
      "description": "Design a media deconstruction protocol analysing persuasion, bias, or representation in media texts. Use when teaching students to critically read advertisements, news, or social media content.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "media-literacy",
        "critical-thinking",
        "representation",
        "persuasion",
        "deconstruction"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "source-credibility-evaluation-protocol",
        "critical-thinking-task-designer",
        "argument-structure-scaffold-generator",
        "socratic-questioning-sequence-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/literacy-critical-thinking/media-literacy-deconstruction-protocol/SKILL.md"
    },
    {
      "id": "literacy-critical-thinking/reading-comprehension-strategy-selector",
      "name": "reading-comprehension-strategy-selector",
      "display_name": "Reading Comprehension Strategy Selector",
      "domain": "literacy-critical-thinking",
      "description": "Select and sequence reading comprehension strategies matched to a specific text's challenges and demands. Use when students struggle with a text or need targeted reading support.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "reading",
        "comprehension",
        "strategy-instruction",
        "reciprocal-teaching",
        "metacognition"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "text-complexity-analyser",
        "think-aloud-script-generator",
        "vocabulary-tiering-tool",
        "scaffolded-task-modifier"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/literacy-critical-thinking/reading-comprehension-strategy-selector/SKILL.md"
    },
    {
      "id": "literacy-critical-thinking/source-credibility-evaluation-protocol",
      "name": "source-credibility-evaluation-protocol",
      "display_name": "Source Credibility Evaluation Protocol",
      "domain": "literacy-critical-thinking",
      "description": "Design a source evaluation protocol using lateral reading and credibility checks for digital information. Use when students need to evaluate websites, online sources, or social media claims.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "source-evaluation",
        "lateral-reading",
        "SIFT",
        "digital-literacy",
        "critical-thinking"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "critical-thinking-task-designer",
        "media-literacy-deconstruction-protocol",
        "reading-comprehension-strategy-selector",
        "socratic-questioning-sequence-generator",
        "ai-hallucination-fact-check-protocol"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/literacy-critical-thinking/source-credibility-evaluation-protocol/SKILL.md"
    },
    {
      "id": "literacy-critical-thinking/text-complexity-analyser",
      "name": "text-complexity-analyser",
      "display_name": "Text Complexity Analyser & Scaffold Designer",
      "domain": "literacy-critical-thinking",
      "description": "Analyse text complexity across quantitative, qualitative, and reader-task dimensions with scaffolding recommendations. Use when selecting texts, assessing readability, or planning reading support.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "text-complexity",
        "reading",
        "scaffolding",
        "vocabulary",
        "differentiation"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "reading-comprehension-strategy-selector",
        "vocabulary-tiering-tool",
        "scaffolded-task-modifier",
        "cognitive-load-analyser"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/literacy-critical-thinking/text-complexity-analyser/SKILL.md"
    },
    {
      "id": "memory-learning-science/cognitive-load-analyser",
      "name": "cognitive-load-analyser",
      "display_name": "Cognitive Load Analyser",
      "domain": "memory-learning-science",
      "description": "Analyse a learning task for cognitive load problems and recommend specific design improvements. Use when tasks overwhelm students, instructions feel complex, or materials need simplifying.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "cognitive-load",
        "task-design",
        "scaffolding",
        "instructional-design",
        "working-memory"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "worked-example-fading-designer",
        "explicit-instruction-sequence-builder",
        "scaffolded-task-modifier",
        "text-complexity-analyser"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/memory-learning-science/cognitive-load-analyser/SKILL.md"
    },
    {
      "id": "memory-learning-science/dual-coding-designer",
      "name": "dual-coding-designer",
      "display_name": "Dual Coding Designer",
      "domain": "memory-learning-science",
      "description": "Design a visual complement to verbal content using dual coding principles for stronger encoding. Use when creating slides, diagrams, posters, or visual explanations of complex concepts.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "dual-coding",
        "visual-representation",
        "multimedia",
        "cognitive-load",
        "diagrams"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "cognitive-load-analyser",
        "worked-example-fading-designer",
        "text-complexity-analyser",
        "explicit-instruction-sequence-builder"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/memory-learning-science/dual-coding-designer/SKILL.md"
    },
    {
      "id": "memory-learning-science/elaborative-interrogation-generator",
      "name": "elaborative-interrogation-generator",
      "display_name": "Elaborative Interrogation Prompt Generator",
      "domain": "memory-learning-science",
      "description": "Generate elaborative interrogation prompts that deepen encoding through targeted why and how questions. Use when students memorise without understanding or need deeper processing of content.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "elaboration",
        "encoding",
        "comprehension",
        "deep-processing",
        "questioning"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "retrieval-practice-generator",
        "self-regulation-scaffold-generator",
        "metacognitive-prompt-library",
        "reading-comprehension-strategy-selector"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/memory-learning-science/elaborative-interrogation-generator/SKILL.md"
    },
    {
      "id": "memory-learning-science/feedback-quality-analyser",
      "name": "feedback-quality-analyser",
      "display_name": "Feedback Quality Analyser & Rewriter",
      "domain": "memory-learning-science",
      "description": "Analyse existing written feedback for quality, specificity, actionability, and impact on student learning. Use when reviewing teacher or peer feedback to improve feedback practices.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "feedback",
        "formative-assessment",
        "metacognition",
        "writing",
        "assessment"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "gap-analysis-from-student-work",
        "criterion-referenced-rubric-generator",
        "self-regulation-scaffold-generator",
        "metacognitive-prompt-library",
        "kud-knowledge-type-mapper"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/memory-learning-science/feedback-quality-analyser/SKILL.md"
    },
    {
      "id": "memory-learning-science/interleaving-unit-planner",
      "name": "interleaving-unit-planner",
      "display_name": "Interleaving Unit Planner",
      "domain": "memory-learning-science",
      "description": "Redesign a blocked topic sequence into an interleaved plan with mixed practice across related topics. Use when planning units, homework schedules, or revision programmes.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "interleaving",
        "desirable-difficulty",
        "planning",
        "memory",
        "practice"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "spaced-practice-scheduler",
        "retrieval-practice-generator",
        "practice-problem-sequence-designer",
        "cognitive-load-analyser"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/memory-learning-science/interleaving-unit-planner/SKILL.md"
    },
    {
      "id": "memory-learning-science/retrieval-practice-generator",
      "name": "retrieval-practice-generator",
      "display_name": "Retrieval Practice Question Generator",
      "domain": "memory-learning-science",
      "description": "Generate retrieval practice questions at varied difficulty levels for a topic or concept. Use when creating quiz starters, revision activities, or low-stakes testing materials.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "retrieval",
        "memory",
        "assessment",
        "spaced-practice",
        "testing-effect"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "spaced-practice-scheduler",
        "formative-assessment-technique-selector",
        "gap-analysis-from-student-work",
        "cognitive-load-analyser"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/memory-learning-science/retrieval-practice-generator/SKILL.md"
    },
    {
      "id": "memory-learning-science/spaced-practice-scheduler",
      "name": "spaced-practice-scheduler",
      "display_name": "Spaced Practice Schedule Builder",
      "domain": "memory-learning-science",
      "description": "Design a spaced retrieval schedule for any topic list and timeline. Use when planning units, term sequences, or revision programmes.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "spacing",
        "memory",
        "planning",
        "forgetting-curve",
        "distributed-practice"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "retrieval-practice-generator",
        "interleaving-unit-planner",
        "formative-assessment-technique-selector",
        "lesson-opening-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/memory-learning-science/spaced-practice-scheduler/SKILL.md"
    },
    {
      "id": "memory-learning-science/worked-example-fading-designer",
      "name": "worked-example-fading-designer",
      "display_name": "Worked Example Designer with Completion Fading",
      "domain": "memory-learning-science",
      "description": "Design a worked example fading sequence from fully worked examples through to independent practice. Use when teaching procedures, algorithms, or multi-step processes to novice learners.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "worked-examples",
        "scaffolding",
        "fading",
        "cognitive-load",
        "novice-learning"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "cognitive-load-analyser",
        "explicit-instruction-sequence-builder",
        "practice-problem-sequence-designer",
        "checking-for-understanding-protocol-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/memory-learning-science/worked-example-fading-designer/SKILL.md"
    },
    {
      "id": "montessori-alternative-approaches/mixed-age-learning-task-designer",
      "name": "mixed-age-learning-task-designer",
      "display_name": "Mixed-Age Learning Task Designer",
      "domain": "montessori-alternative-approaches",
      "description": "Design a learning task where mixed-age students work together with mutual benefit for all age groups. Use when planning cross-age tutoring, vertical grouping, or multi-year group activities.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "mixed-age",
        "Montessori",
        "peer-tutoring",
        "Vygotsky",
        "ZPD",
        "Hattie",
        "Lillard",
        "cross-age",
        "interdependence"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "three-part-lesson-designer",
        "prepared-environment-designer",
        "uninterrupted-work-cycle-designer",
        "peer-tutoring-protocol-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/montessori-alternative-approaches/mixed-age-learning-task-designer/SKILL.md"
    },
    {
      "id": "montessori-alternative-approaches/prepared-environment-designer",
      "name": "prepared-environment-designer",
      "display_name": "Prepared Environment Designer",
      "domain": "montessori-alternative-approaches",
      "description": "Redesign a classroom as a prepared environment optimised for independent learning, calm transitions, and material access. Use when classroom layout hinders independence or self-directed work.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "Montessori",
        "prepared-environment",
        "classroom-design",
        "Lillard",
        "Cossentino",
        "accessibility",
        "order",
        "beauty",
        "materials"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "three-part-lesson-designer",
        "uninterrupted-work-cycle-designer",
        "mixed-age-learning-task-designer",
        "biophilic-learning-environment-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/montessori-alternative-approaches/prepared-environment-designer/SKILL.md"
    },
    {
      "id": "montessori-alternative-approaches/three-part-lesson-designer",
      "name": "three-part-lesson-designer",
      "display_name": "Three-Part Lesson Designer (Montessori)",
      "domain": "montessori-alternative-approaches",
      "description": "Design a Montessori three-period lesson for introducing concepts through concrete materials and naming. Use when teaching vocabulary, classifications, or concepts through hands-on materials.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "Montessori",
        "three-period-lesson",
        "Lillard",
        "naming",
        "recognition",
        "recall",
        "vocabulary",
        "classification",
        "concrete"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "prepared-environment-designer",
        "mixed-age-learning-task-designer",
        "uninterrupted-work-cycle-designer",
        "retrieval-practice-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/montessori-alternative-approaches/three-part-lesson-designer/SKILL.md"
    },
    {
      "id": "montessori-alternative-approaches/uninterrupted-work-cycle-designer",
      "name": "uninterrupted-work-cycle-designer",
      "display_name": "Uninterrupted Work Cycle Designer",
      "domain": "montessori-alternative-approaches",
      "description": "Design an uninterrupted work cycle with choice-based activities structured within a realistic time block. Use when planning Montessori-style independent work periods or extended choice time.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "Montessori",
        "work-cycle",
        "uninterrupted",
        "flow",
        "Csikszentmihalyi",
        "time-on-task",
        "Rosenshine",
        "executive-function",
        "choice"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "prepared-environment-designer",
        "three-part-lesson-designer",
        "mixed-age-learning-task-designer",
        "self-regulated-learning-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/montessori-alternative-approaches/uninterrupted-work-cycle-designer/SKILL.md"
    },
    {
      "id": "original-frameworks/assessment-design-orchestrator",
      "name": "assessment-design-orchestrator",
      "display_name": "Assessment Design Orchestrator",
      "domain": "original-frameworks",
      "description": "Routes between five assessment pathways \u2014 formative, rubric/criteria, authentic/performance, peer/self, and diagnostic \u2014 with validity and equity checks. Use when a teacher needs help choosing how to assess.",
      "disable_model_invocation": false,
      "evidence_strength": "emerging",
      "tags": [
        "orchestrator",
        "composite-framework",
        "practitioner-framework",
        "emerging-evidence",
        "assessment",
        "formative-assessment",
        "rubric",
        "authentic-assessment",
        "peer-assessment",
        "diagnostic",
        "validity",
        "equity"
      ],
      "teacher_time": "10-15 minutes",
      "chains_with": [
        "formative-assessment-technique-selector",
        "assessment-validity-checker",
        "gap-analysis-from-student-work",
        "differentiation-adapter",
        "self-regulation-scaffold-generator",
        "inclusive-design-orchestrator",
        "udl-barrier-anticipator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/assessment-design-orchestrator/SKILL.md"
    },
    {
      "id": "original-frameworks/coherent-rubric-logic-builder",
      "name": "coherent-rubric-logic-builder",
      "display_name": "Coherent Rubric Logic Builder",
      "domain": "original-frameworks",
      "description": "Build a five-level rubric with coherent logic for a learning target within a developmental band. Use for Manning methodology programmes where Competent = success. For general curriculum rubrics, use criterion-referenced-rubric-generator instead.",
      "disable_model_invocation": true,
      "evidence_strength": "emerging",
      "tags": [
        "rubric",
        "Manning",
        "competency",
        "five-level",
        "co-construction",
        "Sadler",
        "formative",
        "Competent",
        "assessment"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "learning-target-authoring-guide",
        "developmental-band-system-designer",
        "self-determined-project-design-protocol",
        "ai-feedback-design-principles",
        "curriculum-knowledge-architecture-designer",
        "kud-knowledge-type-mapper"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/coherent-rubric-logic-builder/SKILL.md"
    },
    {
      "id": "original-frameworks/compassionate-systems-awareness-orchestrator",
      "name": "compassionate-systems-awareness-orchestrator",
      "display_name": "Compassionate Systems Awareness Orchestrator",
      "domain": "original-frameworks",
      "description": "Orchestrate compassionate systems tools from issue or aspiration to wise action. Use when a class needs a complete inquiry workflow.",
      "disable_model_invocation": false,
      "evidence_strength": "emerging",
      "tags": [
        "orchestrator",
        "composite-framework",
        "practitioner-framework",
        "compassionate-systems",
        "systems-thinking",
        "classroom-inquiry",
        "student-agency",
        "regenerative",
        "workflow"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "systems-awareness-iceberg",
        "aspirational-systems-iceberg",
        "mental-model-mapper",
        "agency-circles-for-systems-action",
        "ladder-of-inference-reflection",
        "place-based-inquiry-anchor",
        "project-brief-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/compassionate-systems-awareness-orchestrator/SKILL.md"
    },
    {
      "id": "original-frameworks/developmental-band-system-designer",
      "name": "developmental-band-system-designer",
      "display_name": "Developmental Band System Designer",
      "domain": "original-frameworks",
      "description": "Design a developmental band system mapping student growth from early childhood through upper secondary. Use when building competency-based curriculum architecture for a school or programme.",
      "disable_model_invocation": true,
      "evidence_strength": "emerging",
      "tags": [
        "developmental-bands",
        "competency",
        "Manning",
        "curriculum-design",
        "Piaget",
        "backwards-design",
        "mixed-age",
        "band-system"
      ],
      "teacher_time": "6 minutes",
      "chains_with": [
        "learning-target-authoring-guide",
        "coherent-rubric-logic-builder",
        "self-determined-project-design-protocol",
        "curriculum-knowledge-architecture-designer",
        "kud-knowledge-type-mapper",
        "scope-and-sequence-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/developmental-band-system-designer/SKILL.md"
    },
    {
      "id": "original-frameworks/developmental-progression-synthesis",
      "name": "developmental-progression-synthesis",
      "display_name": "Developmental Progression Synthesis",
      "domain": "original-frameworks",
      "description": "Synthesise completed KUD charts into a developmental progression matrix and per-competency narrative sections. Use when you need a programme-level view of how knowledge, understanding, and performance develop across bands.",
      "disable_model_invocation": true,
      "evidence_strength": "emerging",
      "tags": [
        "developmental-progression",
        "KUD",
        "programme-guide",
        "scope-and-sequence",
        "matrix",
        "competency",
        "bands",
        "synthesis",
        "curriculum-design"
      ],
      "teacher_time": "",
      "chains_with": [
        "kud-chart-author",
        "learning-target-authoring-guide",
        "scope-and-sequence-designer",
        "coherent-rubric-logic-builder",
        "dispositional-knowledge-assessment-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/developmental-progression-synthesis/SKILL.md"
    },
    {
      "id": "original-frameworks/dilemma-navigation-for-education-design",
      "name": "dilemma-navigation-for-education-design",
      "display_name": "Dilemma Navigation for Education Design",
      "domain": "original-frameworks",
      "description": "Identify and navigate genuine dilemmas in curriculum, school, or community contexts \u2014 tensions between competing goods that cannot be solved, only navigated. Produces a structured dilemma map with both poles named and both/and possibilities.",
      "disable_model_invocation": false,
      "evidence_strength": "emerging",
      "tags": [
        "h3uni",
        "dilemma-navigation",
        "values",
        "both-and-thinking",
        "original-framework",
        "emerging-evidence",
        "curriculum-design",
        "ethics"
      ],
      "teacher_time": "15 minutes",
      "chains_with": [
        "three-horizons-learning-transition-mapper",
        "multi-perspective-decision-wheel",
        "systems-awareness-iceberg",
        "assessment-validity-checker",
        "hexagon-complexity-mapper"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/dilemma-navigation-for-education-design/SKILL.md"
    },
    {
      "id": "original-frameworks/dispositional-knowledge-assessment-designer",
      "name": "dispositional-knowledge-assessment-designer",
      "display_name": "Dispositional Knowledge Assessment Designer",
      "domain": "original-frameworks",
      "description": "Design multi-informant assessment approaches for dispositional competencies like curiosity or resilience. Use when assessing character strengths or competencies that written tests cannot capture.",
      "disable_model_invocation": true,
      "evidence_strength": "moderate",
      "tags": [
        "dispositional-knowledge",
        "assessment",
        "multi-informant",
        "coaching-feedback",
        "developmental-bands",
        "agency",
        "collaboration",
        "self-regulation",
        "observation",
        "self-reflection"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "learning-target-authoring-guide",
        "coherent-rubric-logic-builder",
        "developmental-band-system-designer",
        "curriculum-knowledge-architecture-designer",
        "kud-knowledge-type-mapper"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/dispositional-knowledge-assessment-designer/SKILL.md"
    },
    {
      "id": "original-frameworks/inclusive-design-orchestrator",
      "name": "inclusive-design-orchestrator",
      "display_name": "Inclusive Design Orchestrator",
      "domain": "original-frameworks",
      "description": "Coordinates UDL and differentiation tools through a universal-first hierarchy: barrier removal before targeted differentiation before individualised accommodation. Use when planning accessible learning.",
      "disable_model_invocation": false,
      "evidence_strength": "emerging",
      "tags": [
        "orchestrator",
        "composite-framework",
        "practitioner-framework",
        "emerging-evidence",
        "inclusive-design",
        "udl",
        "differentiation",
        "accessibility",
        "equity",
        "barrier-removal",
        "universal-design"
      ],
      "teacher_time": "10-15 minutes",
      "chains_with": [
        "udl-lesson-auditor",
        "udl-options-designer",
        "udl-barrier-anticipator",
        "differentiation-adapter",
        "assessment-design-orchestrator",
        "language-demand-analyser",
        "scaffolded-task-modifier"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/inclusive-design-orchestrator/SKILL.md"
    },
    {
      "id": "original-frameworks/learning-target-authoring-guide",
      "name": "learning-target-authoring-guide",
      "display_name": "Purpose-Driven Learning Target Authoring Guide",
      "domain": "original-frameworks",
      "description": "Author learning targets for a competency across developmental bands with precise, observable progression language. Use when writing 'I can' statements for competency-based programmes.",
      "disable_model_invocation": true,
      "evidence_strength": "emerging",
      "tags": [
        "learning-targets",
        "Manning",
        "competency",
        "authoring",
        "backwards-design",
        "observable-verbs",
        "band-statements",
        "progression",
        "knowledge-type",
        "observation-indicators",
        "Type-3",
        "multi-informant"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "developmental-band-system-designer",
        "coherent-rubric-logic-builder",
        "self-determined-project-design-protocol",
        "curriculum-knowledge-architecture-designer",
        "kud-knowledge-type-mapper",
        "critical-thinking-task-designer",
        "dispositional-knowledge-assessment-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/learning-target-authoring-guide/SKILL.md"
    },
    {
      "id": "original-frameworks/multi-perspective-decision-wheel",
      "name": "multi-perspective-decision-wheel",
      "display_name": "Multi-Perspective Decision Wheel",
      "domain": "original-frameworks",
      "description": "Structure a decision or design challenge through multiple perspectives before committing to action. Use as a synthesis step after scoping, mapping, and dilemma navigation when a group needs a wiser next step.",
      "disable_model_invocation": false,
      "evidence_strength": "emerging",
      "tags": [
        "h3uni",
        "decision-making",
        "multiple-perspectives",
        "wheel-of-wisdom",
        "original-framework",
        "emerging-evidence",
        "programme-planning",
        "boundary-critique"
      ],
      "teacher_time": "10 minutes",
      "chains_with": [
        "dilemma-navigation-for-education-design",
        "three-horizons-learning-transition-mapper",
        "agency-circles-for-systems-action",
        "project-brief-designer",
        "regenerative-project-design-orchestrator",
        "assessment-validity-checker",
        "seeds-regenerative-inquiry-cycle"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/multi-perspective-decision-wheel/SKILL.md"
    },
    {
      "id": "original-frameworks/place-based-curriculum-orchestrator",
      "name": "place-based-curriculum-orchestrator",
      "display_name": "Place-Based Curriculum Orchestrator",
      "domain": "original-frameworks",
      "description": "Present pathway options and orchestrate place-based curriculum design from a local place, curriculum requirement, or community issue. Use when place should become a primary text for learning.",
      "disable_model_invocation": false,
      "evidence_strength": "emerging",
      "tags": [
        "orchestrator",
        "composite-framework",
        "practitioner-framework",
        "place-based",
        "emerging-evidence",
        "curriculum",
        "pathways",
        "local",
        "community",
        "critical-pedagogy-of-place"
      ],
      "teacher_time": "8 minutes",
      "chains_with": [
        "place-based-inquiry-anchor",
        "ecological-inquiry-anchor-designer",
        "phenomenon-based-unit-anchor",
        "culturally-responsive-teaching-designer",
        "curriculum-knowledge-architecture-designer",
        "learning-target-authoring-guide",
        "assessment-validity-checker",
        "systems-awareness-iceberg",
        "mental-model-mapper"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/place-based-curriculum-orchestrator/SKILL.md"
    },
    {
      "id": "original-frameworks/regenerative-project-design-orchestrator",
      "name": "regenerative-project-design-orchestrator",
      "display_name": "Regenerative Project Design Orchestrator",
      "domain": "original-frameworks",
      "description": "Present project-design pathway options and orchestrate regenerative projects using backwards design, PBL, SEEDS, compassionate systems action, or civic/service pathways.",
      "disable_model_invocation": false,
      "evidence_strength": "emerging",
      "tags": [
        "orchestrator",
        "composite-framework",
        "practitioner-framework",
        "regenerative",
        "emerging-evidence",
        "project-design",
        "PBL",
        "backwards-design",
        "SEEDS",
        "service-learning",
        "student-agency"
      ],
      "teacher_time": "8 minutes",
      "chains_with": [
        "backwards-design-unit-planner",
        "project-brief-designer",
        "self-determined-project-design-protocol",
        "seeds-regenerative-inquiry-cycle",
        "agency-scaffold-generator",
        "service-learning-project-designer",
        "systems-awareness-iceberg",
        "aspirational-systems-iceberg",
        "agency-circles-for-systems-action",
        "assessment-validity-checker"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/regenerative-project-design-orchestrator/SKILL.md"
    },
    {
      "id": "original-frameworks/scoping-for-transformative-learning-inquiry",
      "name": "scoping-for-transformative-learning-inquiry",
      "display_name": "Scoping for Transformative Learning Inquiry",
      "domain": "original-frameworks",
      "description": "Define the scope and purpose of a complex inquiry before mapping or futures work begins. Use when a class or group needs to agree what they are investigating, who it matters to, and at what scale.",
      "disable_model_invocation": false,
      "evidence_strength": "emerging",
      "tags": [
        "h3uni",
        "scoping",
        "inquiry-design",
        "systems-thinking",
        "original-framework",
        "emerging-evidence",
        "programme-planning"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "hexagon-complexity-mapper",
        "three-horizons-learning-transition-mapper",
        "place-based-inquiry-anchor",
        "project-brief-designer",
        "seeds-regenerative-inquiry-cycle",
        "regenerative-project-design-orchestrator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/scoping-for-transformative-learning-inquiry/SKILL.md"
    },
    {
      "id": "original-frameworks/seeds-regenerative-inquiry-cycle",
      "name": "seeds-regenerative-inquiry-cycle",
      "display_name": "SEEDS Regenerative Inquiry Cycle",
      "domain": "original-frameworks",
      "description": "Design a SEEDS regenerative inquiry cycle connecting place-based learning to ecological awareness for young learners. Use when building early childhood or primary inquiry around ecosystems and community.",
      "disable_model_invocation": true,
      "evidence_strength": "emerging",
      "tags": [
        "SEEDS",
        "regenerative",
        "inquiry",
        "place-based",
        "Manning",
        "bio-empathy",
        "stewardship",
        "cyclical",
        "documentation"
      ],
      "teacher_time": "6 minutes",
      "chains_with": [
        "place-based-inquiry-anchor",
        "reggio-documentation-protocol",
        "ecological-inquiry-anchor-designer",
        "ubuntu-collective-knowledge-task-designer",
        "critical-thinking-task-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/seeds-regenerative-inquiry-cycle/SKILL.md"
    },
    {
      "id": "original-frameworks/self-determined-project-design-protocol",
      "name": "self-determined-project-design-protocol",
      "display_name": "Self-Determined Project Design Protocol",
      "domain": "original-frameworks",
      "description": "Structure a student's self-determined project with mentoring checkpoints, competency alignment, and reflection. Use when guiding student-led projects within a competency-based framework.",
      "disable_model_invocation": true,
      "evidence_strength": "emerging",
      "tags": [
        "self-determined",
        "project",
        "Manning",
        "mentoring",
        "SRL",
        "Zimmerman",
        "Bandura",
        "feasibility",
        "deliberate-practice",
        "tracking"
      ],
      "teacher_time": "6 minutes",
      "chains_with": [
        "learning-target-authoring-guide",
        "coherent-rubric-logic-builder",
        "developmental-band-system-designer",
        "self-regulated-learning-designer",
        "curriculum-knowledge-architecture-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/self-determined-project-design-protocol/SKILL.md"
    },
    {
      "id": "original-frameworks/single-point-rubric-designer",
      "name": "single-point-rubric-designer",
      "display_name": "Single-Point Rubric Designer",
      "domain": "original-frameworks",
      "description": "Design a single-point rubric with one criterion and open columns for evidence. Use for student self-assessment, peer feedback, teacher formative feedback, or pre-task planning. Works with any learning target, with or without a band system.",
      "disable_model_invocation": true,
      "evidence_strength": "moderate",
      "tags": [
        "single-point-rubric",
        "self-assessment",
        "peer-assessment",
        "formative-assessment",
        "criterion",
        "reflection",
        "Manning",
        "Sadler",
        "Fluckiger"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "learning-target-authoring-guide",
        "coherent-rubric-logic-builder",
        "criterion-referenced-rubric-generator",
        "dispositional-knowledge-assessment-designer",
        "kud-chart-author"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/single-point-rubric-designer/SKILL.md"
    },
    {
      "id": "original-frameworks/three-horizons-learning-transition-mapper",
      "name": "three-horizons-learning-transition-mapper",
      "display_name": "Three Horizons Learning Transition Mapper",
      "domain": "original-frameworks",
      "description": "Map a scoped topic across three coexisting horizons \u2014 current system under strain (H1), preferred future (H3), and transition innovations sorted as H2+ or H2- \u2014 to understand change dynamics and identify responsible next actions.",
      "disable_model_invocation": false,
      "evidence_strength": "emerging",
      "tags": [
        "h3uni",
        "three-horizons",
        "futures-thinking",
        "transition",
        "h2-plus",
        "h2-minus",
        "original-framework",
        "emerging-evidence",
        "systems-change",
        "programme-planning"
      ],
      "teacher_time": "20 minutes",
      "chains_with": [
        "scoping-for-transformative-learning-inquiry",
        "hexagon-complexity-mapper",
        "dilemma-navigation-for-education-design",
        "systems-awareness-iceberg",
        "agency-circles-for-systems-action",
        "place-based-inquiry-anchor",
        "regenerative-project-design-orchestrator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/original-frameworks/three-horizons-learning-transition-mapper/SKILL.md"
    },
    {
      "id": "professional-learning/competency-framework-translator",
      "name": "competency-framework-translator",
      "display_name": "Competency Framework Translator",
      "domain": "professional-learning",
      "description": "Translate an external competency framework like DigComp, GreenComp, or ISTE into classroom-ready activities. Use when implementing framework standards in specific teaching contexts.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "competency-frameworks",
        "DigComp",
        "GreenComp",
        "ISTE",
        "UNESCO-AI",
        "translation",
        "observable-indicators"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "competency-unpacker",
        "criterion-referenced-rubric-generator",
        "backwards-design-unit-planner",
        "project-brief-designer",
        "curriculum-knowledge-architecture-designer",
        "scope-and-sequence-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/professional-learning/competency-framework-translator/SKILL.md"
    },
    {
      "id": "professional-learning/instructional-coaching-conversation-guide",
      "name": "instructional-coaching-conversation-guide",
      "display_name": "Instructional Coaching Conversation Guide",
      "domain": "professional-learning",
      "description": "Generate a coaching conversation guide with questions, protocols, and follow-up actions for a teaching focus. Use when preparing for coaching sessions, mentoring, or peer feedback conversations.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "coaching",
        "instructional-coaching",
        "Knight",
        "professional-learning",
        "feedback",
        "dialogue"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "lesson-study-cycle-designer",
        "lesson-observation-protocol-designer",
        "reflective-practice-prompt-generator",
        "teacher-inquiry-cycle-designer",
        "pedagogical-content-knowledge-developer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/professional-learning/instructional-coaching-conversation-guide/SKILL.md"
    },
    {
      "id": "professional-learning/lesson-observation-protocol-designer",
      "name": "lesson-observation-protocol-designer",
      "display_name": "Lesson Observation Protocol Designer",
      "domain": "professional-learning",
      "description": "Design a focused lesson observation protocol with specific look-fors and evidence collection methods. Use when planning peer observations, coaching visits, or developmental classroom visits.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "observation",
        "look-fors",
        "feedback",
        "professional-development",
        "evidence-based"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "instructional-coaching-conversation-guide",
        "lesson-study-cycle-designer",
        "reflective-practice-prompt-generator",
        "explicit-instruction-sequence-builder",
        "pedagogical-content-knowledge-developer",
        "technological-pedagogical-content-knowledge-developer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/professional-learning/lesson-observation-protocol-designer/SKILL.md"
    },
    {
      "id": "professional-learning/lesson-study-cycle-designer",
      "name": "lesson-study-cycle-designer",
      "display_name": "Lesson Study Cycle Designer",
      "domain": "professional-learning",
      "description": "Design a complete lesson study cycle from research question through collaborative planning to research lesson. Use when planning jugyou kenkyuu or collaborative teacher inquiry into practice.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "lesson-study",
        "jugyou-kenkyuu",
        "collaborative-planning",
        "research-lesson",
        "professional-learning"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "instructional-coaching-conversation-guide",
        "lesson-observation-protocol-designer",
        "reflective-practice-prompt-generator",
        "teacher-inquiry-cycle-designer",
        "pedagogical-content-knowledge-developer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/professional-learning/lesson-study-cycle-designer/SKILL.md"
    },
    {
      "id": "professional-learning/panel-review",
      "name": "panel-review",
      "display_name": "Panel review \u2014 seven-role independent-mode review of framework artefacts",
      "domain": "professional-learning",
      "description": "Seven-role depersonalised panel review of framework artefacts (KUD, criterion bank, LT definition, crosswalk, scope-and-sequence) in sequential-isolation mode. Gate rule mean>=88 AND no role<70.",
      "disable_model_invocation": true,
      "evidence_strength": "medium",
      "tags": [
        "panel-review",
        "quality-assurance",
        "framework-validation",
        "professional-learning",
        "curriculum-review"
      ],
      "teacher_time": "30 minutes",
      "chains_with": [
        "kud-chart-author",
        "learning-target-authoring-guide",
        "curriculum-crosswalk",
        "coverage-audit",
        "coherent-rubric-logic-builder",
        "criterion-referenced-rubric-generator",
        "scope-and-sequence-designer",
        "developmental-progression-synthesis"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/professional-learning/panel-review/SKILL.md"
    },
    {
      "id": "professional-learning/pedagogical-content-knowledge-developer",
      "name": "pedagogical-content-knowledge-developer",
      "display_name": "Pedagogical Content Knowledge Developer",
      "domain": "professional-learning",
      "description": "Develop pedagogical content knowledge for a topic by surfacing common misconceptions and effective representations. Use when preparing to teach unfamiliar content or improving teaching of hard topics.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "PCK",
        "pedagogical-content-knowledge",
        "teacher-development",
        "content-knowledge",
        "misconceptions",
        "Shulman",
        "professional-learning",
        "knowledge-contingent"
      ],
      "teacher_time": "10 minutes",
      "chains_with": [
        "curriculum-knowledge-architecture-designer",
        "critical-thinking-task-designer",
        "lesson-observation-protocol-designer",
        "reflective-practice-prompt-generator",
        "technological-pedagogical-content-knowledge-developer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/professional-learning/pedagogical-content-knowledge-developer/SKILL.md"
    },
    {
      "id": "professional-learning/professional-development-session-designer",
      "name": "professional-development-session-designer",
      "display_name": "Professional Development Session Designer",
      "domain": "professional-learning",
      "description": "Design a professional development session using adult learning principles with active teacher engagement. Use when planning INSET days, CPD workshops, or staff training sessions.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "CPD",
        "professional-development",
        "Timperley",
        "adult-learning",
        "INSET",
        "staff-training"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "instructional-coaching-conversation-guide",
        "lesson-study-cycle-designer",
        "teacher-inquiry-cycle-designer",
        "reflective-practice-prompt-generator",
        "pedagogical-content-knowledge-developer",
        "technological-pedagogical-content-knowledge-developer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/professional-learning/professional-development-session-designer/SKILL.md"
    },
    {
      "id": "professional-learning/reflective-practice-prompt-generator",
      "name": "reflective-practice-prompt-generator",
      "display_name": "Reflective Practice Prompt Generator",
      "domain": "professional-learning",
      "description": "Generate structured reflection prompts for a specific teaching experience or professional learning challenge. Use when debriefing lessons, journaling, or preparing for coaching conversations.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "reflection",
        "Sch\u00f6n",
        "Timperley",
        "reflective-practice",
        "professional-learning",
        "journaling"
      ],
      "teacher_time": "2 minutes",
      "chains_with": [
        "instructional-coaching-conversation-guide",
        "lesson-observation-protocol-designer",
        "teacher-inquiry-cycle-designer",
        "lesson-study-cycle-designer",
        "pedagogical-content-knowledge-developer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/professional-learning/reflective-practice-prompt-generator/SKILL.md"
    },
    {
      "id": "professional-learning/teacher-inquiry-cycle-designer",
      "name": "teacher-inquiry-cycle-designer",
      "display_name": "Teacher Inquiry Cycle Designer",
      "domain": "professional-learning",
      "description": "Design a practitioner inquiry cycle from research question through data collection to evidence-informed action. Use when starting action research, teacher-led investigation, or professional inquiry.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "inquiry",
        "Timperley",
        "practitioner-research",
        "action-research",
        "data-informed",
        "professional-learning"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "reflective-practice-prompt-generator",
        "lesson-study-cycle-designer",
        "instructional-coaching-conversation-guide",
        "professional-development-session-designer",
        "pedagogical-content-knowledge-developer",
        "technological-pedagogical-content-knowledge-developer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/professional-learning/teacher-inquiry-cycle-designer/SKILL.md"
    },
    {
      "id": "professional-learning/technological-pedagogical-content-knowledge-developer",
      "name": "technological-pedagogical-content-knowledge-developer",
      "display_name": "Technological Pedagogical Content Knowledge Developer",
      "domain": "professional-learning",
      "description": "Develop TPACK for integrating a specific technology or AI tool into subject teaching with pedagogical alignment. Use when adopting new ed-tech, reviewing AI tools, or planning technology integration.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "TPACK",
        "technology-integration",
        "AI-in-education",
        "pedagogical-content-knowledge",
        "Mishra-Koehler",
        "professional-learning",
        "ed-tech"
      ],
      "teacher_time": "10 minutes",
      "chains_with": [
        "pedagogical-content-knowledge-developer",
        "curriculum-knowledge-architecture-designer",
        "critical-thinking-task-designer",
        "lesson-observation-protocol-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/professional-learning/technological-pedagogical-content-knowledge-developer/SKILL.md"
    },
    {
      "id": "questioning-discussion/dialogic-teaching-move-generator",
      "name": "dialogic-teaching-move-generator",
      "display_name": "Dialogic Teaching Move Generator",
      "domain": "questioning-discussion",
      "description": "Generate follow-up teaching moves that extend student thinking after a specific classroom response. Use when a student says something worth exploring and the teacher wants to deepen the dialogue.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "dialogic-teaching",
        "teacher-moves",
        "revoicing",
        "classroom-talk",
        "accountable-talk"
      ],
      "teacher_time": "2 minutes",
      "chains_with": [
        "socratic-questioning-sequence-generator",
        "discussion-protocol-selector",
        "checking-for-understanding-protocol-designer",
        "think-aloud-script-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/questioning-discussion/dialogic-teaching-move-generator/SKILL.md"
    },
    {
      "id": "questioning-discussion/discussion-protocol-selector",
      "name": "discussion-protocol-selector",
      "display_name": "Discussion Protocol Selector & Facilitation Guide",
      "domain": "questioning-discussion",
      "description": "Select and configure a structured discussion protocol matched to the purpose, topic, and group readiness. Use when planning classroom discussions, Socratic seminars, or structured debate.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "discussion",
        "dialogue",
        "accountable-talk",
        "protocols",
        "oracy"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "socratic-questioning-sequence-generator",
        "dialogic-teaching-move-generator",
        "academic-language-sentence-frame-generator",
        "hinge-question-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/questioning-discussion/discussion-protocol-selector/SKILL.md"
    },
    {
      "id": "questioning-discussion/hinge-question-designer",
      "name": "hinge-question-designer",
      "display_name": "Hinge Question Designer",
      "domain": "questioning-discussion",
      "description": "Design a diagnostic hinge question that reveals whether students understand enough to move on. Use when planning key checkpoints mid-lesson during explicit or direct instruction.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "hinge-question",
        "formative-assessment",
        "misconceptions",
        "diagnostic",
        "checking-understanding"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "checking-for-understanding-protocol-designer",
        "explicit-instruction-sequence-builder",
        "practice-problem-sequence-designer",
        "retrieval-practice-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/questioning-discussion/hinge-question-designer/SKILL.md"
    },
    {
      "id": "questioning-discussion/perspective-taking-designer",
      "name": "perspective-taking-designer",
      "display_name": "Perspective-Taking Designer",
      "domain": "questioning-discussion",
      "description": "Design structured perspective-taking activities with anti-projection guardrails. Develops genuine understanding of complexity across history, social sciences, and literature \u2014 not performed empathy.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "perspective-taking",
        "empathy",
        "historical-thinking",
        "social-perspective",
        "anti-projection",
        "discussion",
        "inquiry"
      ],
      "teacher_time": "5-10 minutes",
      "chains_with": [
        "dialogic-teaching-move-generator",
        "discussion-protocol-selector",
        "ladder-of-inference-reflection",
        "mental-model-mapper",
        "socratic-questioning-sequence-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/questioning-discussion/perspective-taking-designer/SKILL.md"
    },
    {
      "id": "questioning-discussion/socratic-questioning-sequence-generator",
      "name": "socratic-questioning-sequence-generator",
      "display_name": "Socratic Questioning Sequence Generator",
      "domain": "questioning-discussion",
      "description": "Generate a Socratic questioning sequence that develops conceptual understanding through guided inquiry. Use when facilitating philosophical discussions, concept exploration, or critical examination.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "questioning",
        "Socratic",
        "critical-thinking",
        "dialogue",
        "reasoning"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "discussion-protocol-selector",
        "dialogic-teaching-move-generator",
        "hinge-question-designer",
        "elaborative-interrogation-generator",
        "ai-socratic-dialogue-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/questioning-discussion/socratic-questioning-sequence-generator/SKILL.md"
    },
    {
      "id": "self-regulated-learning/error-analysis-protocol",
      "name": "error-analysis-protocol",
      "display_name": "Error Analysis Protocol",
      "domain": "self-regulated-learning",
      "description": "Design an error analysis protocol to diagnose the root cause of student mistakes and misconceptions. Use when error patterns appear in student work and targeted feedback is needed.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "error-analysis",
        "formative-assessment",
        "misconceptions",
        "diagnosis",
        "feedback"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "feedback-quality-analyser",
        "gap-analysis-from-student-work",
        "metacognitive-prompt-library",
        "worked-example-fading-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/self-regulated-learning/error-analysis-protocol/SKILL.md"
    },
    {
      "id": "self-regulated-learning/goal-setting-protocol-designer",
      "name": "goal-setting-protocol-designer",
      "display_name": "Goal-Setting Protocol Designer",
      "domain": "self-regulated-learning",
      "description": "Design a structured goal-setting protocol using SMART or implementation-intention frameworks for students. Use when launching units, projects, or developing student self-direction habits.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "goal-setting",
        "motivation",
        "self-regulation",
        "planning",
        "self-efficacy"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "self-regulation-scaffold-generator",
        "metacognitive-prompt-library",
        "agency-scaffold-generator",
        "self-efficacy-builder-sequence"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/self-regulated-learning/goal-setting-protocol-designer/SKILL.md"
    },
    {
      "id": "self-regulated-learning/metacognitive-prompt-library",
      "name": "metacognitive-prompt-library",
      "display_name": "Metacognitive Prompt Library",
      "domain": "self-regulated-learning",
      "description": "Build a library of metacognitive prompts targeting planning, monitoring, or evaluation for a specific task. Use when developing students' thinking-about-thinking during independent work.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "metacognition",
        "monitoring",
        "thinking-about-thinking",
        "self-regulation",
        "comprehension"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "self-regulation-scaffold-generator",
        "study-strategy-selector",
        "error-analysis-protocol",
        "elaborative-interrogation-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/self-regulated-learning/metacognitive-prompt-library/SKILL.md"
    },
    {
      "id": "self-regulated-learning/self-regulation-scaffold-generator",
      "name": "self-regulation-scaffold-generator",
      "display_name": "Self-Regulation Scaffold Generator",
      "domain": "self-regulated-learning",
      "description": "Generate scaffolds supporting student self-regulation across planning, monitoring, and evaluation phases. Use when students struggle to manage their own learning during extended or independent tasks.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "self-regulation",
        "metacognition",
        "scaffolding",
        "independence",
        "executive-function"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "metacognitive-prompt-library",
        "goal-setting-protocol-designer",
        "agency-scaffold-generator",
        "feedback-quality-analyser"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/self-regulated-learning/self-regulation-scaffold-generator/SKILL.md"
    },
    {
      "id": "self-regulated-learning/study-strategy-selector",
      "name": "study-strategy-selector",
      "display_name": "Study Strategy Selector & Guide",
      "domain": "self-regulated-learning",
      "description": "Select evidence-based study strategies matched to material type, learning goal, and student habits. Use when advising students on revision techniques, homework, or independent study approaches.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "study-skills",
        "learning-strategies",
        "revision",
        "self-regulation",
        "metacognition"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "retrieval-practice-generator",
        "spaced-practice-scheduler",
        "metacognitive-prompt-library",
        "goal-setting-protocol-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/self-regulated-learning/study-strategy-selector/SKILL.md"
    },
    {
      "id": "student-learning/ai-claim-checker",
      "name": "ai-claim-checker",
      "display_name": "AI Claim Checker",
      "domain": "student-learning",
      "description": "After any AI-generated explanation, require the learner to identify one place it could be wrong, one thing to check, and one source to consult. Builds epistemic vigilance \u2014 treats AI output as a claim to evaluate, not truth to absorb.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "AI-literacy",
        "epistemic-vigilance",
        "critical-thinking",
        "verification",
        "source-checking"
      ],
      "teacher_time": "",
      "chains_with": [
        "student-learning/explain-first-interrogator",
        "student-learning/transfer-bridge",
        "student-learning/srl-session-wrapper"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/student-learning/ai-claim-checker/SKILL.md"
    },
    {
      "id": "student-learning/confidence-calibration-check",
      "name": "confidence-calibration-check",
      "display_name": "Confidence Calibration Check",
      "domain": "student-learning",
      "description": "Capture confidence ratings before and after a learning attempt to identify overconfidence and underconfidence patterns. Use when a student wants to understand how well they actually know something versus how well they think they know it.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "metacognition",
        "calibration",
        "confidence",
        "self-monitoring",
        "overconfidence"
      ],
      "teacher_time": "",
      "chains_with": [
        "student-learning/retrieve-first-gate",
        "student-learning/explain-first-interrogator",
        "student-learning/ai-claim-checker",
        "student-learning/srl-session-wrapper",
        "student-learning/unassisted-evidence-checkpoint"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/student-learning/confidence-calibration-check/SKILL.md"
    },
    {
      "id": "student-learning/explain-first-interrogator",
      "name": "explain-first-interrogator",
      "display_name": "Explain-First Interrogator",
      "domain": "student-learning",
      "description": "Require the learner to explain a concept in their own words before the AI evaluates or extends it. Ensures the AI works from the learner's understanding rather than providing an explanation from scratch.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "self-explanation",
        "metacognition",
        "reasoning",
        "gate",
        "Chi"
      ],
      "teacher_time": "",
      "chains_with": [
        "student-learning/retrieve-first-gate",
        "student-learning/stuck-and-error-diagnosis-coach",
        "student-learning/transfer-bridge",
        "student-learning/teach-back-evaluator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/student-learning/explain-first-interrogator/SKILL.md"
    },
    {
      "id": "student-learning/fading-manager",
      "name": "fading-manager",
      "display_name": "Fading Manager",
      "domain": "student-learning",
      "description": "Track performance across sessions and reduce scaffolding as competence grows. Makes fading visible \u2014 the learner knows when scaffolds are removed and why. Use for sustained learning engagement where independence is the goal.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "fading",
        "cognitive-apprenticeship",
        "scaffolding",
        "independence",
        "graduated-autonomy"
      ],
      "teacher_time": "",
      "chains_with": [
        "student-learning/progressive-hint-ladder",
        "student-learning/srl-session-wrapper",
        "student-learning/unassisted-evidence-checkpoint",
        "student-learning/weekly-agency-review"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/student-learning/fading-manager/SKILL.md"
    },
    {
      "id": "student-learning/productive-failure-protocol",
      "name": "productive-failure-protocol",
      "display_name": "Productive Failure Protocol",
      "domain": "student-learning",
      "description": "Stage exploration before instruction on complex problems. The learner produces two attempted approaches before consolidation \u2014 which builds on those attempts, not from scratch. Use for genuinely hard problems where struggle produces deeper learning.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "productive-failure",
        "exploration",
        "Kapur",
        "desirable-difficulty",
        "consolidation"
      ],
      "teacher_time": "",
      "chains_with": [
        "student-learning/progressive-hint-ladder",
        "student-learning/stuck-and-error-diagnosis-coach",
        "student-learning/transfer-bridge",
        "student-learning/srl-session-wrapper"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/student-learning/productive-failure-protocol/SKILL.md"
    },
    {
      "id": "student-learning/progressive-hint-ladder",
      "name": "progressive-hint-ladder",
      "display_name": "Progressive Hint Ladder",
      "domain": "student-learning",
      "description": "Provide graduated assistance from abstract conceptual nudge to concrete procedural step, with reflection required before each escalation. Teaches help-seeking as a skill and prevents direct-answer shortcuts.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "hints",
        "scaffolding",
        "help-seeking",
        "ITS",
        "assistance-dilemma"
      ],
      "teacher_time": "",
      "chains_with": [
        "student-learning/retrieve-first-gate",
        "student-learning/stuck-and-error-diagnosis-coach",
        "student-learning/productive-failure-protocol",
        "student-learning/unassisted-evidence-checkpoint"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/student-learning/progressive-hint-ladder/SKILL.md"
    },
    {
      "id": "student-learning/retrieve-first-gate",
      "name": "retrieve-first-gate",
      "display_name": "Retrieve-First Gate",
      "domain": "student-learning",
      "description": "Before any explanation or answer, require the learner to produce a free-recall attempt and confidence rating. Use when a student wants help understanding or reviewing a topic \u2014 this skill ensures the AI works from what the learner already knows.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "retrieval",
        "memory",
        "metacognition",
        "gate",
        "testing-effect"
      ],
      "teacher_time": "",
      "chains_with": [
        "student-learning/explain-first-interrogator",
        "student-learning/confidence-calibration-check",
        "student-learning/transfer-bridge",
        "student-learning/unassisted-evidence-checkpoint"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/student-learning/retrieve-first-gate/SKILL.md"
    },
    {
      "id": "student-learning/srl-session-wrapper",
      "name": "srl-session-wrapper",
      "display_name": "SRL Session Wrapper",
      "domain": "student-learning",
      "description": "Wrap a learning session in a plan \u2192 monitor \u2192 reflect cycle. Use at the start of any substantial study session to set goals, mid-session to check strategy, and at session end to consolidate what changed. Builds self-regulated learning as a habit.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "SRL",
        "metacognition",
        "self-regulation",
        "Zimmerman",
        "planning",
        "reflection"
      ],
      "teacher_time": "",
      "chains_with": [
        "student-learning/confidence-calibration-check",
        "student-learning/unassisted-evidence-checkpoint",
        "student-learning/weekly-agency-review",
        "student-learning/fading-manager"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/student-learning/srl-session-wrapper/SKILL.md"
    },
    {
      "id": "student-learning/stuck-and-error-diagnosis-coach",
      "name": "stuck-and-error-diagnosis-coach",
      "display_name": "Stuck & Error Diagnosis Coach",
      "domain": "student-learning",
      "description": "When a learner gets something wrong or feels stuck, require them to diagnose the problem before receiving help. Ensures help targets the actual cognitive breakdown, not just the surface error.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "error-diagnosis",
        "stuck",
        "metacognition",
        "help-seeking",
        "feedback"
      ],
      "teacher_time": "",
      "chains_with": [
        "student-learning/progressive-hint-ladder",
        "student-learning/confidence-calibration-check",
        "student-learning/productive-failure-protocol",
        "student-learning/unassisted-evidence-checkpoint"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/student-learning/stuck-and-error-diagnosis-coach/SKILL.md"
    },
    {
      "id": "student-learning/teach-back-evaluator",
      "name": "teach-back-evaluator",
      "display_name": "Teach-Back Evaluator",
      "domain": "student-learning",
      "description": "The learner teaches the concept to the AI, which plays a curious novice peer and identifies gaps through authentic questions. Use when the learner wants to test their understanding \u2014 teaching forces a different kind of organisation than studying.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "learning-by-teaching",
        "protege-effect",
        "teach-back",
        "Biswas",
        "peer-tutoring"
      ],
      "teacher_time": "",
      "chains_with": [
        "student-learning/explain-first-interrogator",
        "student-learning/transfer-bridge",
        "student-learning/srl-session-wrapper"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/student-learning/teach-back-evaluator/SKILL.md"
    },
    {
      "id": "student-learning/transfer-bridge",
      "name": "transfer-bridge",
      "display_name": "Transfer Bridge",
      "domain": "student-learning",
      "description": "After the learner demonstrates understanding of a concept, present near-transfer and far-transfer challenges. Use to test whether learning is portable or task-specific \u2014 this is what separates understanding from familiarity.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "transfer",
        "deep-learning",
        "near-transfer",
        "far-transfer",
        "portable-understanding"
      ],
      "teacher_time": "",
      "chains_with": [
        "student-learning/retrieve-first-gate",
        "student-learning/explain-first-interrogator",
        "student-learning/productive-failure-protocol",
        "student-learning/unassisted-evidence-checkpoint"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/student-learning/transfer-bridge/SKILL.md"
    },
    {
      "id": "student-learning/unassisted-evidence-checkpoint",
      "name": "unassisted-evidence-checkpoint",
      "display_name": "Unassisted Evidence Checkpoint",
      "domain": "student-learning",
      "description": "After scaffolded practice, run an unassisted check with no AI help. Use to distinguish supported performance from what the learner can currently do independently.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "unassisted",
        "assisted-unassisted-gap",
        "independence",
        "evidence",
        "Bastani"
      ],
      "teacher_time": "",
      "chains_with": [
        "student-learning/retrieve-first-gate",
        "student-learning/confidence-calibration-check",
        "student-learning/transfer-bridge",
        "student-learning/srl-session-wrapper",
        "student-learning/weekly-agency-review"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/student-learning/unassisted-evidence-checkpoint/SKILL.md"
    },
    {
      "id": "student-learning/weekly-agency-review",
      "name": "weekly-agency-review",
      "display_name": "Weekly Agency Review",
      "domain": "student-learning",
      "description": "Review the week using accumulated session evidence \u2014 retrieval rates, hint depths, calibration accuracy, transfer and unassisted results. The learner identifies patterns and sets a strategy goal. Use weekly or after a multi-session period.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "SRL",
        "metacognition",
        "weekly-review",
        "learning-analytics",
        "agency"
      ],
      "teacher_time": "",
      "chains_with": [
        "student-learning/confidence-calibration-check",
        "student-learning/srl-session-wrapper",
        "student-learning/unassisted-evidence-checkpoint",
        "student-learning/fading-manager"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/student-learning/weekly-agency-review/SKILL.md"
    },
    {
      "id": "systems-thinking/agency-circles-for-systems-action",
      "name": "agency-circles-for-systems-action",
      "display_name": "Agency Circles for Systems Action",
      "domain": "systems-thinking",
      "description": "Map control, influence, and concern after systems analysis. Use when students need wise agency without being made responsible for everything.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "agency",
        "circle-of-control",
        "systems-action",
        "student-voice",
        "wellbeing",
        "influence",
        "collective-action"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "systems-awareness-iceberg",
        "aspirational-systems-iceberg",
        "mental-model-mapper",
        "agency-scaffold-generator",
        "self-regulation-scaffold-generator",
        "project-brief-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/systems-thinking/agency-circles-for-systems-action/SKILL.md"
    },
    {
      "id": "systems-thinking/aspirational-systems-iceberg",
      "name": "aspirational-systems-iceberg",
      "display_name": "Aspirational Systems Iceberg",
      "domain": "systems-thinking",
      "description": "Design the deeper patterns, structures, artefacts, and mental models needed to grow a desired event. Use when a class imagines a better future.",
      "disable_model_invocation": false,
      "evidence_strength": "emerging",
      "tags": [
        "aspirational-iceberg",
        "systems-thinking",
        "future-design",
        "student-agency",
        "compassionate-systems",
        "mental-models",
        "regenerative"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "systems-awareness-iceberg",
        "mental-model-mapper",
        "agency-circles-for-systems-action",
        "place-based-inquiry-anchor",
        "agency-scaffold-generator",
        "project-brief-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/systems-thinking/aspirational-systems-iceberg/SKILL.md"
    },
    {
      "id": "systems-thinking/hexagon-complexity-mapper",
      "name": "hexagon-complexity-mapper",
      "display_name": "Hexagon Complexity Mapper",
      "domain": "systems-thinking",
      "description": "Map a complex topic by placing factors on hexagonal tiles where adjacency signals a claimed relationship. Use when students need to surface hidden connections in a system before analysis or action.",
      "disable_model_invocation": false,
      "evidence_strength": "emerging",
      "tags": [
        "systems-thinking",
        "hexagon-mapping",
        "complexity",
        "relationships",
        "h3uni",
        "visual-facilitation",
        "emerging-evidence",
        "student-inquiry"
      ],
      "teacher_time": "15 minutes",
      "chains_with": [
        "systems-awareness-iceberg",
        "mental-model-mapper",
        "three-horizons-learning-transition-mapper",
        "leverage-and-response-design",
        "agency-circles-for-systems-action",
        "place-based-inquiry-anchor"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/systems-thinking/hexagon-complexity-mapper/SKILL.md"
    },
    {
      "id": "systems-thinking/ladder-of-inference-reflection",
      "name": "ladder-of-inference-reflection",
      "display_name": "Ladder of Inference Reflection",
      "domain": "systems-thinking",
      "description": "Slow down interpretation from observation to action. Use when students or adults need to examine assumptions in conflict, dialogue, or inquiry.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "ladder-of-inference",
        "assumptions",
        "dialogue",
        "reflection",
        "conflict",
        "bias",
        "compassionate-systems"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "mental-model-mapper",
        "restorative-practice-protocol-designer",
        "dialogic-teaching-move-generator",
        "socratic-questioning-sequence-generator",
        "systems-awareness-iceberg"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/systems-thinking/ladder-of-inference-reflection/SKILL.md"
    },
    {
      "id": "systems-thinking/leverage-and-response-design",
      "name": "leverage-and-response-design",
      "display_name": "Leverage and Response Design",
      "domain": "systems-thinking",
      "description": "Design a wise systems intervention from an existing analysis. Maps proposed actions against Meadows' leverage points, checks for unintended consequences, and generates alternatives.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "systems-thinking",
        "leverage-points",
        "intervention-design",
        "unintended-consequences",
        "meadows",
        "feedback-loops",
        "action-design"
      ],
      "teacher_time": "10-15 minutes",
      "chains_with": [
        "systems-awareness-iceberg",
        "agency-circles-for-systems-action",
        "mental-model-mapper",
        "compassionate-systems-awareness-orchestrator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/systems-thinking/leverage-and-response-design/SKILL.md"
    },
    {
      "id": "systems-thinking/mental-model-mapper",
      "name": "mental-model-mapper",
      "display_name": "Mental Model Mapper",
      "domain": "systems-thinking",
      "description": "Surface beliefs, assumptions, stories, and values shaping a system. Use when deeper mental models need examining with care and evidence.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "mental-models",
        "assumptions",
        "systems-thinking",
        "compassionate-systems",
        "culture",
        "reflection",
        "beliefs"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "systems-awareness-iceberg",
        "aspirational-systems-iceberg",
        "ladder-of-inference-reflection",
        "systems-wellbeing-impact-mapper",
        "culturally-responsive-teaching-designer",
        "place-based-inquiry-anchor"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/systems-thinking/mental-model-mapper/SKILL.md"
    },
    {
      "id": "systems-thinking/systems-awareness-iceberg",
      "name": "systems-awareness-iceberg",
      "display_name": "Systems Awareness Iceberg",
      "domain": "systems-thinking",
      "description": "Map a current event below the surface into patterns, structures, and mental models. Use when a class or team needs systemic understanding before action.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "systems-thinking",
        "iceberg",
        "compassionate-systems",
        "mental-models",
        "structures",
        "leverage",
        "classroom-inquiry"
      ],
      "teacher_time": "5 minutes",
      "chains_with": [
        "aspirational-systems-iceberg",
        "mental-model-mapper",
        "agency-circles-for-systems-action",
        "ladder-of-inference-reflection",
        "place-based-inquiry-anchor",
        "restorative-practice-protocol-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/systems-thinking/systems-awareness-iceberg/SKILL.md"
    },
    {
      "id": "systems-thinking/systems-wellbeing-impact-mapper",
      "name": "systems-wellbeing-impact-mapper",
      "display_name": "Systems Wellbeing Impact Mapper",
      "domain": "systems-thinking",
      "description": "Map systemic forces shaping a wellbeing concern without individualising the problem. Uses Bronfenbrenner's ecological model and social determinants to generate structural interventions.",
      "disable_model_invocation": false,
      "evidence_strength": "emerging",
      "tags": [
        "wellbeing",
        "systems-thinking",
        "bronfenbrenner",
        "social-determinants",
        "school-culture",
        "structural-intervention",
        "ecological-model"
      ],
      "teacher_time": "10-15 minutes",
      "chains_with": [
        "systems-awareness-iceberg",
        "agency-circles-for-systems-action",
        "leverage-and-response-design",
        "wellbeing-learning-connection-mapper"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/systems-thinking/systems-wellbeing-impact-mapper/SKILL.md"
    },
    {
      "id": "wellbeing-motivation-agency/agency-scaffold-generator",
      "name": "agency-scaffold-generator",
      "display_name": "Agency Scaffold Generator",
      "domain": "wellbeing-motivation-agency",
      "description": "Generate scaffolds that gradually increase student choice, voice, and ownership within a learning task. Use when students depend heavily on teacher direction and need to develop autonomy.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "agency",
        "student-voice",
        "choice",
        "autonomy",
        "self-regulation",
        "gradual-release"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "motivation-diagnostic-task-redesign",
        "self-efficacy-builder-sequence",
        "self-regulated-learning-strategy-selector",
        "metacognitive-prompt-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/wellbeing-motivation-agency/agency-scaffold-generator/SKILL.md"
    },
    {
      "id": "wellbeing-motivation-agency/awe-wonder-experience-designer",
      "name": "awe-wonder-experience-designer",
      "display_name": "Awe & Wonder Experience Designer",
      "domain": "wellbeing-motivation-agency",
      "description": "Design a moment of awe or wonder that hooks curiosity and deepens emotional engagement with content. Use when opening units, introducing surprising material, or reigniting student interest.",
      "disable_model_invocation": false,
      "evidence_strength": "emerging",
      "tags": [
        "awe",
        "wonder",
        "curiosity",
        "Keltner",
        "engagement",
        "positive-emotion"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "perma-based-lesson-designer",
        "motivation-diagnostic-task-redesign",
        "lesson-opening-designer",
        "critical-thinking-task-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/wellbeing-motivation-agency/awe-wonder-experience-designer/SKILL.md"
    },
    {
      "id": "wellbeing-motivation-agency/belonging-classroom-culture-designer",
      "name": "belonging-classroom-culture-designer",
      "display_name": "Belonging & Classroom Culture Designer",
      "domain": "wellbeing-motivation-agency",
      "description": "Design targeted interventions that strengthen belonging and inclusion for specific classroom dynamics. Use when students feel isolated, cliques form, or new students need integrating.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "belonging",
        "inclusion",
        "classroom-culture",
        "relationships",
        "equity",
        "marginalisation"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "motivation-diagnostic-task-redesign",
        "trauma-informed-practice-designer",
        "ruler-emotional-literacy-sequence",
        "restorative-practice-protocol-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/wellbeing-motivation-agency/belonging-classroom-culture-designer/SKILL.md"
    },
    {
      "id": "wellbeing-motivation-agency/flow-state-condition-designer",
      "name": "flow-state-condition-designer",
      "display_name": "Flow State Condition Designer",
      "domain": "wellbeing-motivation-agency",
      "description": "Optimise a learning activity for flow by balancing challenge level, skill, clear goals, and immediate feedback. Use when students are bored, anxious, or disengaged during a task.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "flow",
        "Csikszentmihalyi",
        "engagement",
        "optimal-experience",
        "challenge-skill-balance"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "motivation-diagnostic-task-redesign",
        "perma-based-lesson-designer",
        "practice-problem-sequence-designer",
        "self-efficacy-builder-sequence"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/wellbeing-motivation-agency/flow-state-condition-designer/SKILL.md"
    },
    {
      "id": "wellbeing-motivation-agency/implementation-intention-designer",
      "name": "implementation-intention-designer",
      "display_name": "Implementation Intention Designer",
      "domain": "wellbeing-motivation-agency",
      "description": "Create if-then implementation intentions and WOOP plans for specific student behaviour change goals. Use when students know what to do but struggle to follow through on habits or routines.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "implementation-intentions",
        "Gollwitzer",
        "if-then-plans",
        "WOOP",
        "habits",
        "self-regulation",
        "behaviour-change"
      ],
      "teacher_time": "2 minutes",
      "chains_with": [
        "self-efficacy-builder-sequence",
        "agency-scaffold-generator",
        "self-regulated-learning-strategy-selector",
        "metacognitive-prompt-generator"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/wellbeing-motivation-agency/implementation-intention-designer/SKILL.md"
    },
    {
      "id": "wellbeing-motivation-agency/motivation-diagnostic-task-redesign",
      "name": "motivation-diagnostic-task-redesign",
      "display_name": "Motivation Diagnostic & Task Redesign",
      "domain": "wellbeing-motivation-agency",
      "description": "Diagnose motivation problems in a task using self-determination theory and redesign for autonomy, competence, and relatedness. Use when students are disengaged, resistant, or going through the motions.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "motivation",
        "SDT",
        "self-determination",
        "autonomy",
        "engagement",
        "task-design"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "self-efficacy-builder-sequence",
        "agency-scaffold-generator",
        "flow-state-condition-designer",
        "differentiation-adapter"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/wellbeing-motivation-agency/motivation-diagnostic-task-redesign/SKILL.md"
    },
    {
      "id": "wellbeing-motivation-agency/perma-based-lesson-designer",
      "name": "perma-based-lesson-designer",
      "display_name": "PERMA-Based Lesson Designer",
      "domain": "wellbeing-motivation-agency",
      "description": "Design a lesson that embeds PERMA wellbeing elements alongside academic learning objectives. Use when planning lessons that intentionally support both content mastery and student flourishing.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "PERMA",
        "positive-education",
        "Seligman",
        "flourishing",
        "wellbeing",
        "lesson-design"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "wellbeing-learning-connection-mapper",
        "motivation-diagnostic-task-redesign",
        "belonging-classroom-culture-designer",
        "flow-state-condition-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/wellbeing-motivation-agency/perma-based-lesson-designer/SKILL.md"
    },
    {
      "id": "wellbeing-motivation-agency/restorative-practice-protocol-designer",
      "name": "restorative-practice-protocol-designer",
      "display_name": "Restorative Practice Protocol Designer",
      "domain": "wellbeing-motivation-agency",
      "description": "Design a restorative practice protocol for addressing harm, rebuilding trust, and restoring relationships. Use when managing conflict, behavioural incidents, or relationship breakdown between students.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "restorative-practice",
        "conflict-resolution",
        "relationships",
        "accountability",
        "repair"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "belonging-classroom-culture-designer",
        "trauma-informed-practice-designer",
        "ruler-emotional-literacy-sequence",
        "wellbeing-learning-connection-mapper"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/wellbeing-motivation-agency/restorative-practice-protocol-designer/SKILL.md"
    },
    {
      "id": "wellbeing-motivation-agency/ruler-emotional-literacy-sequence",
      "name": "ruler-emotional-literacy-sequence",
      "display_name": "RULER Emotional Literacy Sequence",
      "domain": "wellbeing-motivation-agency",
      "description": "Design a RULER emotional literacy sequence for recognising, understanding, labelling, expressing, and regulating emotions. Use when students struggle with emotional regulation, conflict, or anxiety.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "RULER",
        "emotional-intelligence",
        "Brackett",
        "Yale",
        "SEL",
        "emotional-literacy",
        "mood-meter"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "belonging-classroom-culture-designer",
        "trauma-informed-practice-designer",
        "restorative-practice-protocol-designer",
        "perma-based-lesson-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/wellbeing-motivation-agency/ruler-emotional-literacy-sequence/SKILL.md"
    },
    {
      "id": "wellbeing-motivation-agency/self-efficacy-builder-sequence",
      "name": "self-efficacy-builder-sequence",
      "display_name": "Self-Efficacy Builder Sequence",
      "domain": "wellbeing-motivation-agency",
      "description": "Design a mastery experience sequence that systematically builds student confidence in a skill they avoid. Use when students say 'I can't do this', avoid tasks, or show learned helplessness.",
      "disable_model_invocation": false,
      "evidence_strength": "strong",
      "tags": [
        "self-efficacy",
        "confidence",
        "Bandura",
        "mastery-experiences",
        "attribution",
        "mindset"
      ],
      "teacher_time": "3 minutes",
      "chains_with": [
        "motivation-diagnostic-task-redesign",
        "agency-scaffold-generator",
        "differentiation-adapter",
        "practice-problem-sequence-designer"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/wellbeing-motivation-agency/self-efficacy-builder-sequence/SKILL.md"
    },
    {
      "id": "wellbeing-motivation-agency/trauma-informed-practice-designer",
      "name": "trauma-informed-practice-designer",
      "display_name": "Trauma-Informed Practice Designer",
      "domain": "wellbeing-motivation-agency",
      "description": "Design trauma-informed classroom practices that prioritise safety, predictability, connection, and regulation. Use when student behaviour may be trauma-related or the class needs a sensitive approach.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "trauma-informed",
        "ACEs",
        "safety",
        "regulation",
        "attachment",
        "behaviour"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "belonging-classroom-culture-designer",
        "restorative-practice-protocol-designer",
        "ruler-emotional-literacy-sequence",
        "differentiation-adapter"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/wellbeing-motivation-agency/trauma-informed-practice-designer/SKILL.md"
    },
    {
      "id": "wellbeing-motivation-agency/wellbeing-learning-connection-mapper",
      "name": "wellbeing-learning-connection-mapper",
      "display_name": "Wellbeing-Learning Connection Mapper",
      "domain": "wellbeing-motivation-agency",
      "description": "Map evidence-based connections between a wellbeing initiative and specific academic learning outcomes. Use when justifying wellbeing programmes, integrating SEL, or linking pastoral and academic work.",
      "disable_model_invocation": false,
      "evidence_strength": "moderate",
      "tags": [
        "wellbeing",
        "positive-psychology",
        "broaden-and-build",
        "SEL",
        "school-leadership",
        "evidence-rationale"
      ],
      "teacher_time": "4 minutes",
      "chains_with": [
        "perma-based-lesson-designer",
        "belonging-classroom-culture-designer",
        "trauma-informed-practice-designer",
        "ruler-emotional-literacy-sequence"
      ],
      "chain_edges": {
        "receives_from": [],
        "feeds_into": [],
        "output_field": null,
        "input_field": null
      },
      "path": "skills/wellbeing-motivation-agency/wellbeing-learning-connection-mapper/SKILL.md"
    }
  ]
}