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ahnyongjooandClaude Sonnet 5.5 964a841de1 chore(rebar): Pier_T_rebar 작업 폴더 초기 구성 및 외부 의존 파일 통합

- Code\rebar_pipeline, review_pipeline, pier-program을 정션에서 실제 폴더로 전환
- Code\rhino_mcp 및 CLAUDE_rhino배경.md 추가, .mcp.json은 PYTHONPATH로 새 위치 사용
- pier-program 내부 .git 제거(이력은 backup\pier-program_20261028.bundle에 보관)
- worktree 가이드 반영(CLAUDE.local.md, HANDOFF.md)
- D:\Rhino-MCP 경로 참조를 새 위치로 치환

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>

2026-10-28 11:20:18 +09:00

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name, description, version, category, agent, pdca_phase, triggers

name

description

version

Deploy Skill

Deploy code to target environment with automated CI/CD pipeline generation. Strategy adapts based on project level (Starter/Dynamic/Enterprise).

Usage

/pdca deploy {feature}              # Deploy to default env (dev)
/pdca deploy {feature} --env dev    # Deploy to DEV
/pdca deploy {feature} --env staging  # Deploy to STAGING (requires DEV 90%+)
/pdca deploy {feature} --env prod   # Deploy to PROD (requires STAGING 95%+ & Human Approval)
/pdca deploy status                 # Show deploy state machine status

Level-Based Strategy

Level	Strategy	Environments	Tools
Starter	Guide only	dev	GitHub Pages, Netlify, Vercel
Dynamic	Docker + GHA	dev, staging	Docker Compose, GitHub Actions
Enterprise	6-Layer CI/CD	dev, staging, prod	Terraform, EKS, ArgoCD, Canary

Deploy Flow

/pdca deploy feature --env dev
    │
    ▼
① Level Detection (Starter/Dynamic/Enterprise)
    │
    ▼
② Generate CI/CD Files (if not exist)
    ├── .github/workflows/deploy.yml
    ├── Dockerfile (Dynamic/Enterprise)
    ├── docker-compose.yml (DEV)
    ├── k8s/ manifests (Enterprise)
    └── terraform/ (Enterprise)
    │
    ▼
③ Deploy State Machine Transition
    init → dev → verify(90%) → staging → verify(95%) → approval → prod(canary) → complete
    │
    ▼
④ Return to PDCA Check phase

Environment Promotion Gates

Gate	Condition	Action
DEV → STAGING	Match Rate ≥ 90%	Auto-promote
STAGING → PROD	Match Rate ≥ 95% + Human Approval	Require `/pdca deploy --env prod`
PROD Canary	Error rate < threshold	Auto-rollout 10% → 25% → 50% → 100%

Generated Files

Starter

Deployment guide document only

Dynamic

.github/workflows/deploy.yml — Docker build + push + deploy
Dockerfile — Multi-stage build
docker-compose.yml — DEV environment
.env.example — Environment variables template

Enterprise (additional)

infra/terraform/ — AWS infrastructure
infra/k8s/ — Kubernetes manifests
infra/argocd/ — ArgoCD Application + Helm
Security scan steps in CI/CD

Rollback

/pdca deploy rollback {feature}              # Rollback current deploy
/pdca deploy rollback {feature} --env prod   # Rollback specific environment

Rollback triggers:

Manual: /pdca deploy rollback command
Auto: Error rate spike detected by ops-metrics (> 5% threshold)
Canary fail: Argo Rollouts auto-rollback on metrics failure

Rollback resets deploy state machine to idle and restores previous version.

Hook Events

Event	When	Hook
`deploy-start`	Deploy initiated	Pre-validation
`deploy-complete`	Deploy successful	Post-notification
`deploy-failed`	Deploy failed	Error handling + rollback suggestion

3.3 KiB Raw Blame History