Claude Code, Cursor, Windsurf용 automation AI Agent Skills 모음입니다. 개발자 워크플로 자동화에 초점을 둡니다.
이 페이지는 실제 엔지니어링 팀에서 바로 적용할 수 있는 워크플로 자동화에 초점을 둡니다. 소개된 도구는 AI 에이전트와 개발자가 반복 단계를 자동화하고 여러 서비스를 연결하며, 프로토타입부터 프로덕션까지 일관된 실행 흐름을 유지하도록 돕습니다. MCP는 통합 방식 중 하나로 활용할 수 있지만 핵심은 개발 자동화 성과입니다.
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.
백엔드 코드 리뷰는 AI 에이전트 스킬을 사용하여 백엔드 코드를 리뷰하는 과정입니다
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.
프론트엔드 코드 리뷰는 프론트엔드 코드를 자동으로 리뷰하는 과정
프론트엔드 쿼리 및 뮤테이션 패턴은 TanStack Query와 oRPC를 사용하여 구현되는 Dify 계약 관리 솔루션입니다
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 에이전트 스킬은 이미지와 첨부 파일을 자동으로 다운로드하기 위해 사용되며 Linear MCP와 GitHub CLI 등의 도구를 지원합니다
이슈 추적 및 관리를 간소화하기 위한 GitHub 이슈 생성 AI 에이전트 스킬
Quick reference for n8n patterns. Full docs /AGENTS.md
콘텐츠 디자인 AI 에이전트 스킬은 콘텐츠 디자인의 자동화를 구현하고 n8n, low-code, no-code 개발을 지원합니다
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.
워크플로 자동화, 프로세스 자동화, 문서 작업, 데이터 워크플로 및 재사용 가능한 스킬 스택을 중심으로 구성되어 있습니다.
스킬 디렉터리는 직접 검색과 필터링에 적합하고, 컬렉션은 완전한 워크플로를 위한 보완적 스킬 묶음을 찾는 데 적합합니다.
네. 이 컬렉션의 스킬들은 일반적으로 Claude Code, Cursor, Windsurf 및 기타 지원 환경에서 통합 설치 흐름으로 작동합니다.
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.