Claude Code・Cursor・Windsurf 向けの automation AI Agent Skills 集合。開発者ワークフロー自動化 を重視します。
このページは、実運用で使えるワークフロー自動化に焦点を当てています。掲載ツールは、AIエージェントと開発者が反復作業を自動化し、複数サービスを連携し、プロトタイプから本番まで一貫した実行を保つのに役立ちます。MCPは連携手段の一つとして扱いつつ、中心は開発自動化の成果です。
This collection should not trap users in comparison mode or pretend to install the whole collection. Its job is to narrow the shortlist to one skill, then send the next click into installation, validation, and rollout. Installation happens on the skill path.
Move from automation-tool comparison into the install flow, validation checklist, and first command path before expanding further.
Open the Install PathOnce 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 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 solution page for teams turning SOPs, handoffs, and operations into repeatable AI-assisted execution paths.
Operational intent deserves a stronger bridge than generic tooling lists can provide.
Reviewed on 2026-04-17 against workflow automation fit, install clarity, operator handoff, and production usefulness. This page now acts as an installation-first gateway instead of a generic automation list.
We prioritize this page because automation-intent users should move quickly from comparison into installation and validation. That path is stronger for recovery than trapping them in broad tooling research.
Use this page when you need one automation toolchain that can move from prototype into repeatable team execution.
Use the collection as an editorial filter when you need automation tools that can be rolled out without excessive operator ambiguity.
Confirm what the CLI writes and how sync behaves after the install path is clear.
Use the workflow solution page after installation to decide how the automation tool should fit into the delivery system.
バックエンドコードレビューは、AIエージェントスキルを使用してバックエンドコードをレビューするプロセスです
The component-refactoring skill simplifies high-complexity React components, improving code quality and reducing maintenance efforts for developers. It utilizes patterns and workflows to refactor components, making them more efficient and easier to understand.
Generate Vitest + React Testing Library tests for Dify frontend components, hooks, and utilities. Triggers on testing, spec files, coverage, Vitest, RTL, unit tests, integration tests, or write/review test requests.
Guide for implementing oRPC contract-first API patterns in Dify frontend. Trigger when creating or updating contracts in web/contract, wiring router composition, integrating TanStack Query with typed contracts, migrating legacy service calls to oRPC, or deciding whether to call queryOptions directly vs extracting a helper or use-* hook in web/service.
フロントエンドコードレビューは、フロントエンドコードを自動でレビューするプロセス
フロントエンドクエリとミューテーションパターンは、TanStack QueryとoRPCを使用して実装されるDify契約管理ソリューションです
The create-skill AI agent skill automates workflows and integrates APIs for Claude Code, enhancing developer productivity. It teaches the agent focused workflows, leveraging markdown and optional scripts.
Creates GitHub pull requests with properly formatted titles that pass the check-pr-title CI validation. Use when creating PRs, submitting changes for review, or when the user says /pr or asks to create a pull request.
Fetch and display the full transcript from a Loom video URL. Use when the user wants to get or read a Loom transcript.
Reproduce a bug from a Linear ticket with a failing test. Expects the full ticket context (title, description, comments) to be provided as input.
Linear Issue Analysis AIエージェントスキルは、画像と添付ファイルを自動的にダウンロードするために使用され、Linear MCPとGitHub CLIなどのツールをサポートします
問題追跡と管理を簡素化するためのGitHubの問題を作成するAIエージェントスキル
Quick reference for n8n patterns. Full docs /AGENTS.md
コンテンツデザインAIエージェントスキルは、コンテンツデザインの自動化を実現し、n8n、low-code、no-code開発をサポートします
El desarrollo basado en especificaciones permite una integración más eficiente de APIs y flujos de datos
Detects code smells, anti-patterns, and debugging issues. Use when: fixing bugs, reviewing code quality, or refactoring.
Guides PRD, ADR, Design Doc, and Work Plan creation. Use when: planning features, writing specs, or creating technical documents.
Applies TDD process, test quality criteria, and mock guidelines. Use when: writing unit tests, using mocks, or reviewing test quality.
Sync scripts to SuperOps - commits changes and pushes to SuperOps platform
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 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 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.