Claude Code・Cursor・Windsurf 向けの companion AI Agent Skills 集合。開発者ワークフロー自動化 を重視します。
このコレクションは、話題性よりも実運用のエージェント開発を重視しています。再利用可能なワークフロースキル、統合しやすいツール、実際の開発タスクで計画・実行・リカバリを支える補助コンポーネントを収録。MCPは構成要素のひとつとして活用できますが、中心はあくまで開発ワークフローの改善です。
Once the install path is clear, move into the solution, CLI, or editorial surface that best matches this collection. That keeps platform, framework, and operations demand narrowing into a more verifiable high-intent journey.
A practical bridge into command behavior, sync rules, and what operators should validate after installation.
CLI documentation proves the site has operational depth beyond discovery wrappers.
A scenario page for users who already know the workflow problem they need to solve.
High-intent solution pages are safer recovery surfaces than broad skill detail expansion.
Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (FCP, LCP, TBT, CLS, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load pe...
Cloudflare AIエージェントは、Agents SDKとWorkersを使用して構築されたスマートエージェントです
MCPサーバーはModel Context Protocolのサーバー実装であり、Cloudflare上でモデルサービスを提供する
The sandbox-sdk AI agent skill enables developers to build secure, isolated code execution environments on Cloudflare Workers, perfect for AI code execution, code interpreters, and CI/CD systems.
Cloudflare Durable Objects はステートフルなコーディネーションアプリケーションを構築する技術で、RPC メソッド、SQLite ストレージ、WebSockets をサポートします
Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towa...
Wrangler CLI は Cloudflare Workers、KV、R2、D1、Vectorize、Hyperdrive、Workers AI、コンテナ、キュー、ワークフロー、パイプラインをデプロイ、開発、管理するツール
This Cloudflare AI agent skill empowers developers to build, secure, and optimize applications with ease, leveraging Workers, Pages, and other Cloudflare technologies. Enhance your development workflow with AI-driven automation.
Cloudflare Agents SDKは、AIエージェントを構築するためのソフトウェア開発キットです
Create and update pull requests with GitHub CLI (gh) into upstream/dev, using changelog-style descriptions. Use when the user asks to create a PR, update a PR, open a pull request, or refresh PR title, body, or status (draft/ready/close/reopen).
🔮 A smol coding agent in Elixir
Create new AI chat interface components for the ai-elements library following established composable patterns, shadcn/ui integration, and Vercel AI SDK conventions. Use when creating new components in packages/elements/src or when the user asks to add a new component to ai-elements.
Start here for all API mocking in tests. Covers auto-generation, fixtures, and when to use other skills. Required reading before creating, refactoring, or modifying any test involving API calls.
Test that components send correct query parameters or request arguments. Use when testing filtering, sorting, pagination, or any read operation where request parameters matter. Use for test-scoped mock customization.
sync-readmeはREADME.mdとREADME_ZH.mdを同期するためのツールです
Update all project documentation after code changes.
Modifying service configuration types or defaults. Use when changing config structs, adding config fields, or updating default values for any Golem service.
Review code for adherence to project guidelines, style guides, and best practices. Use after writing or modifying code, especially before committing changes or creating pull requests.
Do not reset back to the generic directory. Move sideways through these adjacent high-intent collections to narrow the shortlist toward the install path that best matches your team.
A high-trust collection that lets the site lead with official and strongly verified ecosystems instead of random long-tail repos.
Trusted-brand collections are the fastest way to rebuild authority after pruning.
A workflow-first collection that explains why related skills belong together and what job they solve.
Workflow collections add first-party judgment that generic skill detail pages struggle to communicate.
A platform-specific collection for one of the clearest demand clusters in the product ecosystem.
Platform collections let the site recover with narrower, more trustworthy topical intent.
A clean surface for editor-specific demand with explicit workflow intent.
Editor-specific demand should land on curated surfaces, not random repo coverage.
This collection should not keep users browsing forever. These three questions explain how to shortlist, install, and validate the next step.
ワークフロー自動化、プロセス自動化、ドキュメント操作、データワークフロー、再利用可能なスキルスタックを中心に構成されています。
スキルディレクトリは直接検索やフィルタリングに適し、コレクションは完全なワークフロー向けの補完的スキルをまとめて見つけるのに適しています。
はい。コレクション内のスキルは通常、Claude Code、Cursor、Windsurf、その他の対応環境で統一インストールフローにより動作します。
These are the supporting surfaces for this collection after the install direction is clear and the primary next paths have already narrowed the decision.
A use-case page for users searching for repeatable automation patterns instead of one-off tools.
Workflow automation demand is easier to satisfy with curated intent clusters than with flat directory coverage.
A high-trust collection that lets the site lead with official and strongly verified ecosystems instead of random long-tail repos.
Trusted-brand collections are the fastest way to rebuild authority after pruning.