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Kitaru Skills for Claude Code

Claude Code skills for discovering, designing, and building durable AI agent workflows with Kitaru.

Skills

Skill Slash command Purpose
kitaru-quickstart /kitaru-quickstart Interactive onboarding: scaffolds a personalized demo flow, demonstrates crash recovery with replay, human-in-the-loop with wait(), durable memory across executions, and optional MCP integration
kitaru-scoping /kitaru-scoping Structured interview to validate whether your workflow benefits from durable execution, then designs the flow architecture (checkpoint boundaries, wait points, replay anchors, memory-vs-artifact strategy, memory scope design, operator surface, MVP scope)
kitaru-authoring /kitaru-authoring Guide for writing Kitaru flows, checkpoints, waits, logging, artifacts, kitaru.memory, KitaruClient.memories, replay/resume/retry, CLI memory commands, MCP memory tools, and PydanticAI adapter integrations

Recommended workflow

  1. Quickstart — use /kitaru-quickstart to see what Kitaru does and build intuition for crash recovery, replay, wait, and memory
  2. Scope — use /kitaru-scoping to validate fit and define your flow architecture before writing code
  3. Author — use /kitaru-authoring to build the flows defined in your flow_architecture.md

Installation

Marketplace (recommended)

/plugin marketplace add zenml-io/kitaru-skills
/plugin install kitaru@kitaru

Once installed, Claude Code will automatically use the skills based on context. You can also invoke them explicitly with /kitaru-scoping or /kitaru-authoring.

Team installation

Add to your project's .claude/settings.json:

{
  "plugins": {
    "kitaru": {
      "source": "zenml-io/kitaru-skills",
      "name": "kitaru"
    }
  }
}

Manual installation

mkdir -p .claude/skills/kitaru-scoping .claude/skills/kitaru-authoring

curl -fsSL https://raw.githubusercontent.com/zenml-io/kitaru-skills/main/skills/kitaru-scoping/SKILL.md \
  -o .claude/skills/kitaru-scoping/SKILL.md

curl -fsSL https://raw.githubusercontent.com/zenml-io/kitaru-skills/main/skills/kitaru-authoring/SKILL.md \
  -o .claude/skills/kitaru-authoring/SKILL.md

Example prompts

Quickstart:

  • "I want to try Kitaru — show me what it does."
  • "Give me a five-minute tour of Kitaru's crash recovery."
  • "Set up a Kitaru demo for my data pipeline workflow."
  • "Walk me through Kitaru with MCP integration."

Scoping:

  • "I want to build a research agent — is Kitaru right for this?"
  • "Help me figure out where to put checkpoints in my coding agent workflow."
  • "Should repo conventions live in memory or artifacts?"
  • "I have a complex agent with 10 steps — help me scope it down."

Authoring:

  • "Refactor this script into one @flow with explicit checkpoints."
  • "Add a flow-level kitaru.wait() approval gate before publish."
  • "Add kitaru.memory durable shared state to this flow."
  • "How do I seed memory from a script and inspect it from the CLI or MCP?"
  • "Wrap this PydanticAI call in a @checkpoint and preserve replay safety."

Links

License

Apache 2.0 — see LICENSE.

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Claude Code skills for designing and building durable AI agent workflows with Kitaru

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