사용 방법
- 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
- 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
- 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/tikalk/adlc-team-skills --skill team-init시작 전 확인
- 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
- 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.
team-init
What this skill does
Reverse-engineer Context Directive Records (CDRs) from an existing codebase (brownfield) to document reusable patterns for contribution to team-ai-directives.
Replaces the former team-init skill. Drafts are written to the adlc orphan branch of team-ai-directives (not project-local .adlc/drafts/).
When to use
- Brownfield projects: Existing code without team-wide directives
- Legacy modernization: Extract reusable patterns before refactoring
- Team onboarding: Turn implicit conventions into explicit directives
When NOT to use
- Greenfield (session complete): Use
/team-levelupto extract from session - Mining git history: Use
/change-initfor past decisions
Process
Phase 0: Environment Setup
Run: scripts/team-init.sh --setup
Resolves REPO_ROOT, TEAM_AI_DIRECTIVES, NEXT_CDR, ADLC_BRANCH.
Phase 1: Sub-System Detection
Analyze codebase for distinct sub-systems (same detection as former team-init):
src/auth/→ Authenticationservices/payment/→ Payment- etc.
Phase 2: Load Team Directives
Read existing team-ai-directives main branch for comparison (avoid duplicates).
Phase 3: Multi-Agent Analysis
- Discovery Agent: Scan each sub-system for raw patterns
- Pattern Agent: Classify and score patterns for reusability
- Synthesis Agent: Cross-sub-system analysis and CDR generation
Phase 4: Write CDRs
Write to adlc branch drafts/cdr/ using the shared CDR draft template at skills/team/templates/cdr-draft-template.md.
Phase 5: Handoff
Suggest running /team-levelup to review and publish the discovered CDRs.
Verification
- [ ] CDRs written to
adlcbranchdrafts/cdr/ - [ ] No CDRs in
.adlc/drafts/(old location) - [ ]
cdr.mdindex regenerated inadlcbranch



