By zettalyst
Session wrap-up workflow with multi-agent analysis pipeline for documentation, automation, learning, and follow-up suggestions
Analyze automation patterns. Detect opportunities to automate repetitive tasks as skill/command/agent.
Analyze documentation update needs for CLAUDE.md and context.md. Use during session wrap-up to determine what should be documented.
Phase 2 validation agent. Receives Phase 1 analysis results and validates for duplicates.
Suggest follow-up tasks. Identify incomplete work, improvement points, and prioritize next session tasks.
Extract learnings, mistakes, and new discoveries from session. Summarize in TIL format for knowledge building.
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Claude Code용 커스텀 플러그인 마켓플레이스입니다.
# 1. 마켓플레이스 추가
claude plugin marketplace add october-academy/claude-plugins
# 2. 마켓플레이스 업데이트
claude plugin marketplace update
# 3. 플러그인 설치
claude plugin install <plugin-name>@october-plugins
# 4. Claude Code 재시작
모호한 요구사항을 구조화된 질문을 통해 정확한 명세로 변환합니다.
claude plugin install clarify@october-plugins
사용법:
/clarify "로그인 기능 추가"
/clarify "REST API 구축" --max-iterations 5
특징:
7단계 체계적 기능 개발 워크플로우입니다.
claude plugin install feature-dev@october-plugins
사용법:
/feature-dev OAuth 인증 추가
7단계 워크플로우:
에이전트:
code-explorer: 코드베이스 분석code-architect: 아키텍처 설계code-reviewer: 코드 리뷰세션 마무리 워크플로우입니다. 멀티 에이전트 분석으로 문서화, 자동화, 학습 포인트, 후속 작업을 제안합니다.
claude plugin install wrap@october-plugins
사용법:
/wrap # 인터랙티브 세션 마무리
/wrap README 오타 수정 # 빠른 커밋
2-Phase 아키텍처:
고품질의 독창적인 프론트엔드 인터페이스를 생성합니다.
claude plugin install frontend-design@october-plugins
특징:
자동 적용: Claude가 프론트엔드 작업 시 자동으로 이 스킬을 사용합니다.
코드를 명확성, 일관성, 유지보수성을 위해 단순화하고 정제합니다.
claude plugin install code-simplifier@october-plugins
특징:
원칙:
TypeScript/JavaScript 언어 서버 설정 가이드입니다.
claude plugin install typescript-lsp@october-plugins
기능:
설치:
npm install -g typescript-language-server typescript
Linear 이슈 트래킹 통합입니다. MCP 서버를 통해 Linear와 연동합니다.
claude plugin install linear@october-plugins
기능:
| 명령어 | 설명 |
|---|---|
claude plugin marketplace add october-academy/claude-plugins | 마켓플레이스 추가 |
claude plugin marketplace update | 마켓플레이스 업데이트 |
claude plugin install clarify@october-plugins | clarify 설치 |
claude plugin install feature-dev@october-plugins | feature-dev 설치 |
claude plugin install wrap@october-plugins | wrap 설치 |
claude plugin install frontend-design@october-plugins | frontend-design 설치 |
claude plugin install code-simplifier@october-plugins | code-simplifier 설치 |
claude plugin install typescript-lsp@october-plugins | typescript-lsp 설치 |
claude plugin install linear@october-plugins | linear 설치 |
claude plugin uninstall <name> | 플러그인 제거 |
| 명령어 | 설명 |
|---|---|
/clarify "<요구사항>" | 요구사항 명확화 루프 시작 |
/cancel | clarify 루프 취소 |
/feature-dev <기능> | 7단계 기능 개발 시작 |
/wrap | 세션 마무리 분석 |
claude-plugins/
├── .claude-plugin/
│ └── marketplace.json
├── plugins/
│ ├── clarify/
│ ├── code-simplifier/
│ ├── feature-dev/
│ ├── frontend-design/
│ ├── linear/
│ ├── typescript-lsp/
│ └── wrap/
└── README.md
MIT
npx claudepluginhub zettalyst/claude-plugins --plugin wrapTransform vague requirements into precise specifications through structured questioning.
Frontend design skill for UI/UX implementation
Simplifies and refines code for clarity, consistency, and maintainability while preserving functionality
Linear issue tracking integration. Create issues, manage projects, update statuses, search across workspaces, and streamline your software development workflow with Linear's modern issue tracker.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
An agile retrospective skill for your Claude collaboration sessions. Capture what you learned. Apply the fix. Make the next session better.
Session wrap-up workflow with multi-agent analysis pipeline for documentation, automation, learning, and follow-up suggestions
Knowledge work superpowers that compound over time. Research, execute, review, and capture learnings to make each task easier than the last.
Save a structured session summary so you can pick up where you left off next time. Captures objectives, files changed, decisions, and generates a continuation prompt.
Requirements gathering, interviews, and learning commands
Auto-improving AI sub-agents that learn from their mistakes across sessions