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このリポジトリの skills
SkillsMP は TuYv/ccpm から 5,252 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
TuYv/ccpm収集済み skill 5,252 件中 40 件を表示しています。
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,…
原文の言語: 英語
Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts
原文の言語: 英語
Comprehensive multi-perspective review using specialized judges with debate and consensus building
原文の言語: 英語
Manage evidence freshness by identifying stale decisions and providing governance actions
原文の言語: 英語
Execute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis
原文の言語: 英語
Use when adding metadata to commits without changing history, tracking review status, test results, code quality annotations, or supplementing commit messages post-hoc - provides git notes commands and patterns for attaching non-invasive metadata to Git…
原文の言語: 英語
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…
原文の言語: 英語
Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation
原文の言語: 英語
Evaluate solutions through multi-round debate between independent judges until consensus
原文の言語: 英語
Use when Code implementation and refactoring, architecturing or designing systems, process and workflow improvements, error handling and validation. Provide tehniquest to avoid over-engineering and apply iterative improvements.
原文の言語: 英語
Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification
原文の言語: 英語
Load all open issues from GitHub and save them as markdown files
原文の言語: 英語
Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering
原文の言語: 英語
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
原文の言語: 英語
Iterative PDCA cycle for systematic experimentation and continuous improvement
原文の言語: 英語
Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
原文の言語: 英語
Execute complete FPF cycle from hypothesis generation to decision
原文の言語: 英語
Search the FPF knowledge base and display hypothesis details with assurance information
原文の言語: 英語
Reflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification
原文の言語: 英語
Reset the FPF reasoning cycle to start fresh
原文の言語: 英語
Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to identify source of invalid data or incorrect behavior
原文の言語: 英語
Guide for setup arXiv paper search MCP server using Docker MCP
原文の言語: 英語
Guide for setup Codemap CLI for intelligent codebase visualization and navigation
原文の言語: 英語
Guide for setup Context7 MCP server to load documentation for specific technologies.
原文の言語: 英語
Guide for setup Serena MCP server for semantic code retrieval and editing capabilities
原文の言語: 英語
Display the current state of the FPF knowledge base
原文の言語: 英語
Use when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent for each task with code review between tasks,…
原文の言語: 英語
Use when creating or editing any prompt (commands, hooks, skills, subagent instructions) to verify it produces desired behavior - applies RED-GREEN-REFACTOR cycle to prompt engineering using subagents for isolated testing
原文の言語: 英語
Use when creating or editing skills, before deployment, to verify they work under pressure and resist rationalization - applies RED-GREEN-REFACTOR cycle to process documentation by running baseline without skill, writing to address failures, iterating to…
原文の言語: 英語
Use when tackling complex reasoning tasks requiring step-by-step logic, multi-step arithmetic, commonsense reasoning, symbolic manipulation, or problems where simple prompting fails - provides comprehensive guide to Chain-of-Thought and related prompting…
原文の言語: 英語
Execute tasks through systematic exploration, pruning, and expansion using Tree of Thoughts methodology with meta-judge evaluation specifications and multi-agent evaluation
原文の言語: 英語
Update and maintain project documentation for local code changes using multi-agent workflow with tech-writer agents. Covers docs/, READMEs, JSDoc, and API documentation.
原文の言語: 英語
Iterative Five Whys root cause analysis drilling from symptoms to fundamentals
原文の言語: 英語
Apply writing rules to any documentation that humans will read. Makes your writing clearer, stronger, and more professional.
原文の言語: 英語
Logging best practices focused on wide events (canonical log lines) for powerful debugging and analytics
原文の言語: 英語
Activate brainstorming mode for collaborative discovery and creative problem-solving. Use when users have vague requests, want to explore ideas, or need requirements discovery.
原文の言語: 英語
Pre-implementation confidence assessment (≥90% required). Use before starting any implementation to verify readiness with duplicate check, architecture compliance, official docs verification, OSS references, and root cause identification.
原文の言語: 英語
Activate deep research mode for systematic investigation. Use when the user asks to research, investigate, explore, or needs current information with citations.
原文の言語: 英語
Project management with PDCA cycles, confidence checks, and context persistence. Auto-activates at session start to restore context. Use for task planning, progress tracking, and structured development.
原文の言語: 英語
Activate ultra-compressed output mode for maximum token efficiency. Use when context is running low, user requests brevity, or dealing with large-scale operations.
原文の言語: 英語