ahnyongjooandClaude Sonnet 5.5
964a841de1
- 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>
109 lines
3.3 KiB
Markdown
109 lines
3.3 KiB
Markdown
---
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name: deploy
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description: Deploy feature to target environment (dev/staging/prod) with level-based strategy
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version: 3.0.0
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category: workflow
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agent: hmcmkit:infra-architect
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pdca_phase: do
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triggers:
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- deploy
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- /pdca deploy
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- 배포
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- デプロイ
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- 部署
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---
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# Deploy Skill
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> Deploy code to target environment with automated CI/CD pipeline generation.
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> Strategy adapts based on project level (Starter/Dynamic/Enterprise).
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## Usage
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```bash
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/pdca deploy {feature} # Deploy to default env (dev)
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/pdca deploy {feature} --env dev # Deploy to DEV
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/pdca deploy {feature} --env staging # Deploy to STAGING (requires DEV 90%+)
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/pdca deploy {feature} --env prod # Deploy to PROD (requires STAGING 95%+ & Human Approval)
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/pdca deploy status # Show deploy state machine status
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```
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## Level-Based Strategy
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| Level | Strategy | Environments | Tools |
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|-------|----------|-------------|-------|
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| **Starter** | Guide only | dev | GitHub Pages, Netlify, Vercel |
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| **Dynamic** | Docker + GHA | dev, staging | Docker Compose, GitHub Actions |
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| **Enterprise** | 6-Layer CI/CD | dev, staging, prod | Terraform, EKS, ArgoCD, Canary |
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## Deploy Flow
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```
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/pdca deploy feature --env dev
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│
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▼
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① Level Detection (Starter/Dynamic/Enterprise)
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│
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▼
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② Generate CI/CD Files (if not exist)
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├── .github/workflows/deploy.yml
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├── Dockerfile (Dynamic/Enterprise)
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├── docker-compose.yml (DEV)
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├── k8s/ manifests (Enterprise)
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└── terraform/ (Enterprise)
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│
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▼
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③ Deploy State Machine Transition
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init → dev → verify(90%) → staging → verify(95%) → approval → prod(canary) → complete
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│
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▼
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④ Return to PDCA Check phase
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```
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## Environment Promotion Gates
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| Gate | Condition | Action |
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|------|-----------|--------|
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| DEV → STAGING | Match Rate ≥ 90% | Auto-promote |
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| STAGING → PROD | Match Rate ≥ 95% + Human Approval | Require `/pdca deploy --env prod` |
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| PROD Canary | Error rate < threshold | Auto-rollout 10% → 25% → 50% → 100% |
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## Generated Files
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### Starter
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- Deployment guide document only
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### Dynamic
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- `.github/workflows/deploy.yml` — Docker build + push + deploy
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- `Dockerfile` — Multi-stage build
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- `docker-compose.yml` — DEV environment
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- `.env.example` — Environment variables template
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### Enterprise (additional)
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- `infra/terraform/` — AWS infrastructure
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- `infra/k8s/` — Kubernetes manifests
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- `infra/argocd/` — ArgoCD Application + Helm
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- Security scan steps in CI/CD
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## Rollback
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```bash
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/pdca deploy rollback {feature} # Rollback current deploy
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/pdca deploy rollback {feature} --env prod # Rollback specific environment
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```
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Rollback triggers:
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- Manual: `/pdca deploy rollback` command
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- Auto: Error rate spike detected by ops-metrics (> 5% threshold)
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- Canary fail: Argo Rollouts auto-rollback on metrics failure
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Rollback resets deploy state machine to `idle` and restores previous version.
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## Hook Events
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| Event | When | Hook |
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|-------|------|------|
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| `deploy-start` | Deploy initiated | Pre-validation |
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| `deploy-complete` | Deploy successful | Post-notification |
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| `deploy-failed` | Deploy failed | Error handling + rollback suggestion |
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