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Found 10,112 Skills
ローカル改修した `.agents/skills/<skill-name>/` を upstream リポジトリ (Fandhe-AI/agent-cli-skills 等) へ PR として投稿する。`skills-lock.json` の `source` を読み、`Fandhe-AI/` 以外への push は安全弁で中止。clone → 反映 → セキュリティチェック → ブランチ作成 → push → `gh pr create` を実行。マージ後は sync-skills-lock で hash 更新。「スキルを upstream に貢献」「外部リポジトリに PR」などで使用。
Perform read-only reviews of code changes (`git diff`) for quality, architecture compliance, and security (OWASP Top 10) by delegating to Agent tools. Use for self-reviews before committing/creating PRs, or when requesting "review changes" or "code review". Use implement-review-pr for GitHub PR reviews.
Agent skill for crdt-synchronizer - invoke with $agent-crdt-synchronizer
Agent skill for neural-network - invoke with $agent-neural-network
Agent-first media toolkit for image, video, and audio processing. Use when you need to resize, convert, generate images, remove backgrounds, extract audio, transcribe speech, or generate videos. All commands return deterministic JSON output.
Expert AGENTS.md file assistant. Use when users want to create, verify, or improve AGENTS.md files. Helps with creating minimal, focused AGENTS.md files following progressive disclosure principles, verifying existing files for issues (bloat, contradictions, stale info), and refactoring bloated files.
Build AI agents and agentic workflows. Use when designing/building/debugging agentic systems: choosing workflows vs agents, implementing prompt patterns (chaining/routing/parallelization/orchestrator-workers/evaluator-optimizer), building autonomous agents with tools, designing ACI/tool specs, or troubleshooting/optimizing implementations. **PROACTIVE ACTIVATION**: Auto-invoke when building agentic applications, designing workflows vs agents, or implementing agent patterns. **DETECTION**: Check for agent code (MCP servers, tool defs, .mcp.json configs), or user mentions of "agent", "workflow", "agentic", "autonomous". **USE CASES**: Designing agentic systems, choosing workflows vs agents, implementing prompt patterns, building agents with tools, designing ACI/tool specs, troubleshooting/optimizing agents.
Build trustless escrow for agent-to-agent transactions on Solana and Base. Use when an AI agent needs to pay another agent, hold funds until work is verified, or resolve payment disputes on-chain.
Creates system prompts, writes tool descriptions, and structures agent instructions for agentic systems. Use when the user asks to create, generate, or design prompts for AI agents, especially for tool-using agents, planning agents, or autonomous systems. **PROACTIVE ACTIVATION**: Auto-invoke when designing prompts for agents, tools, or agentic workflows in AI projects. **DETECTION**: Check for agent/tool-related code, prompt files, or user mentions of "prompt", "agent", "LLM". **USE CASES**: Designing system prompts, tool descriptions, agent instructions, prompt optimization, reducing hallucinations.
Clean code patterns for Azure AI Search Python SDK (azure-search-documents). Use when building search applications, creating/managing indexes, implementing agentic retrieval with knowledge bases, or working with vector/hybrid search. Covers SearchClient, SearchIndexClient, SearchIndexerClient, and KnowledgeBaseRetrievalClient.
Use when user says "execute epic [id]" or when executing beads epics with parallel subagents in the current session
One-click initialization of a multi-agent repository from the Antigravity template. Use this skill when users want to scaffold a new project quickly (`quick` mode) or with runtime defaults (`full` mode) including LLM provider profile, MCP toggle, swarm preference context, sandbox type, and optional git init.