编码规范、框架、重构、代码审查（1.6万 个）
Diagnose and recover broken Git state and worktree metadata with a staged, low-risk recovery flow. Use when Git reports detached or contradictory HEAD state, phantom worktree locks, orphaned worktree entries, missing refs, 0000000000000000000000000000000000000000 hashes, or branch operations fail with errors like already checked out, unknown revision, not a valid object name, or cannot lock ref.
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Spawn Comment Sicko, or a swarm of them over the whole repo, fix accepted findings, and offer encodings for claimed constraints.
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Generate a professional git commit message from the repo's current diff. Analyzes all staged, unstaged, and untracked changes, categorizes them, and creates the commit directly once the user approves it, then asks before pushing it (paste-safe commands are a fallback). Trigger on: "commit", "write a commit", "commit message", "what changed", "summarize changes", "draft commit", "changelog", or any request to commit, stage, or describe the current diff.
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Build and verify Live example and code for Mobile-first interface with Bootstrap v5.3 using a working semantic implementation, responsive RTL/LTR behavior, theme tokens, test plan and design verification.
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Build and verify Live example and code for Documentation and knowledge with Bootstrap v5.3 using a working semantic implementation, responsive RTL/LTR behavior, theme tokens, test plan and design verification.
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Build and verify Live example and code for Marketing landing with Bootstrap v5.3 using a working semantic implementation, responsive RTL/LTR behavior, theme tokens, test plan and design verification.
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Build and verify Live example and code for Commerce and checkout with Bootstrap v5.3 using a working semantic implementation, responsive RTL/LTR behavior, theme tokens, test plan and design verification.
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Build and verify Live example and code for Data-heavy application with Bootstrap v5.3 using a working semantic implementation, responsive RTL/LTR behavior, theme tokens, test plan and design verification.
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React component architecture: production-level ownership, composition, state, error boundaries. Use when implementing, reviewing or testing react component architecture for React, Vite, Next.js or Perfect_AI projects.
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React performance: production-level waterfalls, dynamic import, render profiling. Use when implementing, reviewing or testing react performance for React, Vite, Next.js or Perfect_AI projects.
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React Three Fiber architecture: production-level Canvas mount, component lifecycle, useFrame. Use when implementing, reviewing or testing react three fiber architecture for React, Vite, Next.js or Perfect_AI projects.
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Animation instrumentation: production-level frame timing, scroll state and ownership conflicts. Use when implementing, reviewing or testing animation instrumentation for React, Vite, Next.js or Perfect_AI projects.
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Systematic debugging: production-level reproduce, isolate, instrument, verify. Use when implementing, reviewing or testing systematic debugging for React, Vite, Next.js or Perfect_AI projects.
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Next.js architecture: production-level RSC boundaries, routes, metadata, cache. Use when implementing, reviewing or testing next.js architecture for React, Vite, Next.js or Perfect_AI projects.
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Integrate Firecrawl into product code: SDK setup and FIRECRAWL_API_KEY onboarding, /scrape, /search and /interact endpoints. Use when an application (not the agent itself) calls Firecrawl.
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How to migrate the tdmcp Claude Desktop bundle from legacy .dxt to .mcpb (MCP Bundle) and keep it building — covers the manifest schema (verify against the installed packer, never hardcode), the build-dxt.mjs packer/zip-fallback flow, the npm scripts, and the full .dxt→.mcpb reference sweep across docs and scripts. Use when packaging or migrating the tdmcp desktop bundle.
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Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
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Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
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Use the local MCP gateway and the per-app MCP picks. Use when the human asks to check, start, enable or disable the gateway, adopt other MCP servers behind it, wonder why an MCP server is direct or shared, or hit an After Effects MCP that will not start (Node >= 24).
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Use when you need code research over an indexed codebase with minimal context: structural graph queries (who calls X, call chains, architecture overview, dead code, cross-service HTTP routes) instead of file-by-file grep/read cycles. Also trigger to minimise token spend on repetitive code exploration.
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Use when the user wants to capture a real repo's working patterns as a reusable skill — analyzes the local git log and diffs the agent runs itself and drafts a new SKILL.md describing the team's coding patterns, into a scratch/output path the user names. Never overwrites an existing skill.
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エクスプレスチェックアウト、サブスクリプション、返金管理をサポートするPayPal決済処理を統合します。PayPal決済の実装、オンライン取引の処理、Eコマースチェックアウトフローの構築時に使用します。
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Python asyncio、並行プログラミング、高性能アプリケーション向けの非同期/awaitパターンをマスター。非同期API、並行システム、ノンブロッキング操作が必要なI/OバウンドアプリケーションをPythonで構築する際に使用。
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cProfile、メモリプロファイラー、パフォーマンスベストプラクティスを使用してPythonコードをプロファイルおよび最適化。低速なPythonコードのデバッグ、ボトルネックの最適化、アプリケーションパフォーマンスの改善時に使用。
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