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deploy

Deploy feature to target environment (dev/staging/prod) with level-based strategy. Triggers: deploy, /pdca deploy

Informations de source

Dépôt
ww-w-ai/bkit-claude-code
Dernière activité de la source
8 août 2026 à 20:14
Langue détectée de SKILL.md
anglais
Étoiles
601
Forks
155

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SKILL.md
Instructions source · Aperçu en lecture seule
name
deploy
classification
workflow
classification-reason
Deployment execution independent of model capability
deprecation-risk
none
effort
high
description
Deploy feature to target environment (dev/staging/prod) with level-based strategy. Triggers: deploy, /pdca deploy
argument-hint
[feature] [--env dev|staging|prod]
user-invocable
true
agents
{"orchestrator":"bkit:infra-architect"}
allowed-tools
["Read","Write","Edit","Glob","Grep","Bash"]
pdca-phase
do
task-template
[Deploy] {feature}
# Deploy Skill > Deploy code to target environment with automated CI/CD pipeline generation. > Strategy adapts based on project level (Starter/Dynamic/Enterprise). ## Usage ```bash /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 ```bash /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 |
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