컬렉션
컬렉션 workflow

주목할 만한 에이전트 워크플로 구축 도구 | AI Agent Skills

Claude Code, Cursor, Windsurf용 개발 워크플로우 AI Agent Skills 모음입니다. 개발자 워크플로 자동화에 초점을 둡니다.

이 컬렉션은 현대적인 에이전트 아키텍처에서 쓰이는 워크플로 빌딩 블록에 초점을 맞춥니다. 라우팅, 컨텍스트를 유지한 핸드오프, 승인 체크포인트, 재사용 가능한 다단계 패턴을 지원하는 도구를 통해 팀 간 표준화를 쉽게 만들 수 있습니다. 일부는 MCP 연결을 제공하지만, 핵심은 AI Agent Skills와 IDE 중심 개발을 위한 실용적 워크플로 설계입니다.

Primary Install Bridge

Pick One Skill, Then Take the Install Path

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.

Step 1 / Primary Path

Step 1: Open the installation docs

Move from workflow discovery into the install flow, validation checklist, and first command path before comparing anything else.

Open the Install Path
Best-Fit Next Paths

The Next Click Should Keep Narrowing, Not Reset Back To A Generic Directory

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.

Editorial Proof & Trust Signals

Why This Collection Deserves Priority Attention

Reviewed on 2026-04-17 against workflow fit, installation clarity, operator handoff, and repeatable execution value. This page is now positioned as an install-first workflow gateway instead of a generic tooling roundup.

We prioritize this page because workflow-intent users should move from comparison into installation, validation, and team rollout quickly. That recovery path is stronger than keeping them inside another broad repo crawl.

Trust Signals

  • - Entries are selected because they solve a concrete workflow role such as routing, approvals, handoff, or execution scaffolding.
  • - Included tools still connect cleanly to operator-facing setup docs, installation paths, or trusted workflow guidance.
  • - Selection favors repeatable delivery value over generic repository popularity or trend-driven tool lists.

Grouping Logic

  • - Lead with workflow tools that can turn routing, approvals, handoff, and execution scaffolding into one installable path.
  • - Keep the shortlist compact enough for fast comparison while still covering orchestration, reusable scaffolds, and operator checkpoints.
  • - Use installation as the bridge from workflow discovery into validated multi-step execution.

Maintenance & Review

Last Reviewed
2026-04-17
Cadence
Review monthly and whenever a workflow entry changes setup complexity, maintenance ownership, or production positioning.
Maintained By
Killer-Skills editorial review with authority-surface recovery priorities.
Verification
Each entry must still represent a concrete workflow role, remain installable, and connect cleanly to operator-facing docs or setup guidance.
Execution Examples

How These Skills Work Together In Practice

Install one workflow lane before standardizing it

Use this page when you need to shortlist one workflow stack, validate it quickly, and only then roll it out to more contributors or agents.

  1. 1. Open the installation docs before evaluating more workflow repositories.
  2. 2. Pick one scaffold or orchestration tool that matches the execution path you need now.
  3. 3. Install it and verify the CLI write path, handoff behavior, and first checkpoint.
  4. 4. Only after the base lane works, standardize it across the team.

Approval-gated automation loop

Pair automation builders with approval-aware tooling when a workflow can trigger external actions, publishing, or destructive changes.

  1. 1. Use an automation builder to connect triggers, data, and downstream actions.
  2. 2. Insert a review or approval gate before irreversible changes happen.
  3. 3. Document the validation path so operators know what to confirm after each run.

Context-rich handoff between tools

A workflow stack is most useful when handoffs preserve project state, not just payload text.

  1. 1. Define which tool owns planning, which tool executes, and which step verifies outputs.
  2. 2. Keep shared context in docs, prompts, or memory artifacts that survive handoff.
  3. 3. Send users into installation or CLI docs when the next step requires concrete environment setup.
After Installation

Supporting Moves After The Install Path Is Clear

backend-code-review

[ 추천 ]
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langgenius

백엔드 코드 리뷰는 AI 에이전트 스킬을 사용하여 백엔드 코드를 리뷰하는 과정입니다

134.5k
0
인공지능

component-refactoring

[ 추천 ]
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langgenius

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.

134.5k
0
인공지능

frontend-testing

[ 추천 ]
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langgenius

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.

134.5k
0
인공지능

orpc-contract-first

[ 추천 ]
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langgenius

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.

132.2k
0
인공지능

frontend-code-review

[ 추천 ]
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langgenius

프론트엔드 코드 리뷰는 프론트엔드 코드를 자동으로 리뷰하는 과정

134.5k
0
인공지능

frontend-query-mutation

[ 추천 ]
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langgenius

프론트엔드 쿼리 및 뮤테이션 패턴은 TanStack Query와 oRPC를 사용하여 구현되는 Dify 계약 관리 솔루션입니다

134.5k
0
인공지능

create-skill

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n8n-io

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.

181.1k
0
인공지능

create-pr

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n8n-io

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.

181.1k
0
인공지능

loom-transcript

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n8n-io

Fetch and display the full transcript from a Loom video URL. Use when the user wants to get or read a Loom transcript.

181.1k
0
인공지능

reproduce-bug

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n8n-io

Reproduce a bug from a Linear ticket with a failing test. Expects the full ticket context (title, description, comments) to be provided as input.

181.1k
0
인공지능

linear-issue

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n8n-io

Linear Issue Analysis AI 에이전트 스킬은 이미지와 첨부 파일을 자동으로 다운로드하기 위해 사용되며 Linear MCP와 GitHub CLI 등의 도구를 지원합니다

181.1k
0
인공지능

create-issue

Logo of n8n-io
n8n-io

이슈 추적 및 관리를 간소화하기 위한 GitHub 이슈 생성 AI 에이전트 스킬

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0
인공지능

n8n-conventions

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n8n-io

Quick reference for n8n patterns. Full docs /AGENTS.md

181.1k
0
인공지능

content-design

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n8n-io

콘텐츠 디자인 AI 에이전트 스킬은 콘텐츠 디자인의 자동화를 구현하고 n8n, low-code, no-code 개발을 지원합니다

181.1k
0
인공지능

spec-driven-development

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n8n-io

El desarrollo basado en especificaciones permite una integración más eficiente de APIs y flujos de datos

181.1k
0
인공지능

write-docs

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inkeep

Write or update documentation for the Inkeep docs site (agents-docs package). Use when: creating new docs, modifying existing docs, introducing features that need documentation, touching MDX files in agents-docs/content/. Triggers on: docs, documentation, MDX, agents-docs, write docs, update docs, add page, new tutorial, API reference, integration guide.

968
0
인공지능

ai-development-guide

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shinpr

Detects code smells, anti-patterns, and debugging issues. Use when: fixing bugs, reviewing code quality, or refactoring.

34
0
생산성

documentation-criteria

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shinpr

Guides PRD, ADR, Design Doc, and Work Plan creation. Use when: planning features, writing specs, or creating technical documents.

35
0
생산성

testing

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shinpr

Applies TDD process, test quality criteria, and mock guidelines. Use when: writing unit tests, using mocks, or reviewing test quality.

0
0
개발자

worklog

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tae0y

Project template for Claude Python Vibecoding workflow

13
0
개발자
Related Authority Collections

If This Page Is Close, Keep Narrowing With Adjacent Authority Pages

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.

Installation Questions

Answer These Three Questions Before You Install

This collection should not keep users browsing forever. These three questions explain how to shortlist, install, and validate the next step.

이 컬렉션들은 어떤 워크플로를 위해 만들어졌나요?

워크플로 자동화, 프로세스 자동화, 문서 작업, 데이터 워크플로 및 재사용 가능한 스킬 스택을 중심으로 구성되어 있습니다.

컬렉션과 메인 스킬 디렉터리의 차이점은?

스킬 디렉터리는 직접 검색과 필터링에 적합하고, 컬렉션은 완전한 워크플로를 위한 보완적 스킬 묶음을 찾는 데 적합합니다.

이 컬렉션들을 Claude Code나 Cursor에 설치할 수 있나요?

네. 이 컬렉션의 스킬들은 일반적으로 Claude Code, Cursor, Windsurf 및 기타 지원 환경에서 통합 설치 흐름으로 작동합니다.

Additional Recovery Paths

Use These Additional Paths If You Need One More Step To Narrow The Decision

These are the supporting surfaces for this collection after the install direction is clear and the primary next paths have already narrowed the decision.