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Found 2,167 Skills
This skill should be used when the user asks to "create a ReAct agent", "build an agent with tools", "implement tool-calling agent", "use dspy.ReAct", mentions "agent with tools", "reasoning and acting", "multi-step agent", "agent optimization with GEPA", or needs to build production agents that use tools to solve complex tasks.
Update and maintain CLAUDE.md, README.md, agents, skills, and rules to match current project state. Use when docs are stale, the project structure changed, agents, skills, or rules reference outdated paths, or the user asks to update project documentation.
Comprehensive repository analysis using Explore agents, web search, and Context7 to investigate codebase structure, technology stack, configuration, documentation quality, and provide actionable insights. Use this skill when asked to analyze, audit, investigate, or report on a repository or codebase. | Exploreエージェント、Web検索、Context7を用いた包括的なリポジトリ分析。コードベース構造、技術スタック、設定、ドキュメント品質を調査し、実用的な洞察を提供。リポジトリやコードベースの分析、監査、調査、レポート作成を依頼された場合に使用。
Creates and registers templates for agents, skills, workflows, hooks, and code patterns. Handles post-creation catalog updates, consuming skill integration, and README registration. Use when creating new template types or standardizing patterns.
Interactive workspace discovery - learn what tools, workflows, agents, and hooks are available
Converts agent definitions between Markdown (with YAML frontmatter) and TOML formats. Use when transforming agent configurations for different agent systems — MD format for rich tool restrictions, TOML format for Codex-style agents with sandbox modes.
Guide for creating, configuring, and refining AI Agents. Use this skill when users want to define a new agent persona, generate a system prompt, or assemble a specific set of skills/workflows for a specialized agent (e.g., "Create a QA Agent" or "Design a Security Auditor Agent").
The Agent Tool Contract — 5 principles for designing tools agents call reliably: predictable signature, rich errors, token-efficient output, idempotency, graceful degradation. Includes anti-pattern table with 8 common mistakes.
A scoring scale for evaluating how well a CLI is designed for AI agents, based on the "Rewrite Your CLI for AI Agents" principles.
Interactive training for the GitHub Copilot CLI. Guided lessons, quizzes, scenario challenges, and a full reference covering slash commands, shortcuts, modes, agents, skills, MCP, and configuration. Say "cliexpert" to start.
MUST READ before setting up observability for ADK agents or when analyzing production traffic, debugging agent behavior, or improving agent performance. ADK observability guide — Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations, and troubleshooting. Use when configuring monitoring, tracing, or logging for agents, or when understanding how a deployed agent handles real traffic.
Form a committee of two high-reasoning agents to step back, do root cause analysis, and produce a plan. Use when stuck, looping, tunnel-visioning, or facing a hard planning problem.