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Agent Orchestration
Skill

/deploy

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

From plugin
bkit
60544 skills34 agents2 commands21 hooks

Claude Code

$ npx -y skills add ww-w-ai/bkit-claude-code --skill deploy --agent claude-code

SKILL.md

deploy.SKILL.md
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

/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 |

Read more
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Questions about deploy.

Which coding agents can use deploy?
deploy installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.