Browse skills

Load all open issues from GitHub and save them as markdown files

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Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

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Iterative PDCA cycle for systematic experimentation and continuous improvement

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Create and configure git hooks with intelligent project analysis, suggestions, and automated testing

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Create well-formatted commits with conventional commit messages and emoji

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Use when working on multiple branches simultaneously, context switching without stashing, reviewing PRs while developing, testing in isolation, or comparing implementations across branches - provides git worktree commands and workflow patterns for parallel development with multiple working directories.

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Auto-selects best Kaizen method (Gemba Walk, Value Stream, or Muda) for target

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Reflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification

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Add line-specific review comments to pull requests using GitHub CLI API

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Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.

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Generate ideas in one shot using creative sampling

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Use when found gap or repetative issue, that produced by you or implemenataion agent. Esentially use it each time when you say "You absolutly right, I should have done it differently." -> need create rule for this issue so it not appears again.

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Guide for creating effective skills. This command should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization

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Run independent tasks concurrently across multiple files or targets using parallel sub-agents, with per-task model selection and LLM-as-a-judge verification. Use when tasks do not depend on each other and can run side by side.

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Execute one complex task as ordered, dependent steps run sequentially, passing context from each step to the next, with per-step LLM-as-a-judge verification. Use when later steps depend on the results of earlier ones.

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Use to load open/unresolved PR review comments then aggregate them as tasks in .specs/comments/*.md for parallel agents to fix.

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Execute complete FPF cycle from hypothesis generation to decision

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Comprehensive A3 one-page problem analysis with root cause and action plan

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Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure

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Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering

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