deploy

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
• Self-healing escalation: When self-healing agent exhausts its 5-iteration auto-fix budget without restoring SLO, it triggers /pdca deploy rollback as final remediation (see Self-Healing Integration below).

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

Self-Healing Integration (v2.1.13)

The self-healing agent (linked-from-skills: deploy) closes the deploy ⇄ recovery loop:

Stage	Trigger	Action
Detect	Sentry/Slack error pattern matches deploy window	self-healing agent activated via 8-lang triggers ("자동 수정", "auto fix", etc.)
Diagnose	4-Layer Living Context loaded (Scenarios + Invariants + Impact + Incidents)	Identify deploy-introduced regression
Auto-fix	Spawn code-analyzer + gap-detector via Task tool	Up to 5 iteration cycles with scenario runner verification
Verify	Re-run feature scenarios	Pass → auto PR; Fail → escalate
Escalate	Iteration budget exhausted or critical invariant violated	Trigger /pdca deploy rollback + alert human on-call

Invocation paths:

• Implicit: Sentry webhook → self-healing agent (via plugin trigger registry)
• Explicit: /pdca deploy rollback first checks for active self-healing session and aborts to wait for it; user can force-bypass with --force-rollback

The self-healing → deploy contract is mediated by lib/audit/audit-logger.js ACTION_TYPES (rollback_executed, agent_completed, gate_failed) so all transitions remain audit-trail compliant.

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