Deploy Skill

SkillCloud & infra

Deployment guidance and checklist for dev, staging, and production environments. Creates a checkpoint before deploy and provides a structured pre-deploy checklist.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Deploy Skill skill

What this skill tells your AI

The instructions your AI receives, as published by ww-w-ai/bkit-gemini in skills/deploy/SKILL.md and read by ahel’s review.

Guided deployment with pre-deploy checklist and checkpoint creation

Commands

CommandDescriptionExample
/deploy devDeploy to development/deploy dev
/deploy stagingDeploy to staging/deploy staging
/deploy prodDeploy to production (full checklist)/deploy prod

Note: Auto-deploy is not possible from the Gemini CLI Extension. This skill provides a guided checklist and ensures safety steps are taken. The actual deploy command must be run by the user or CI/CD pipeline.

How to Execute

1. Pre-Deploy Checkpoint

Before any deployment:

  1. Call bkit_checkpoint to create a restore point
  2. Record the checkpoint ID for potential rollback
  3. Note: If checkpoint fails, warn user but do not block

2. Environment-Specific Checklists

Development (/deploy dev)
  • All modified files saved
  • No syntax errors (node -c on changed files)
  • Local tests pass (if configured)
  • Checkpoint created
Staging (/deploy staging)

All of dev checklist, plus:

  • PDCA Check phase completed (match rate >= 80%)
  • No TODO or FIXME in changed files
  • Environment variables documented
  • API changes backward-compatible
Production (/deploy prod)

All of staging checklist, plus:

  • PDCA Check phase completed (match rate >= 90%)
  • Code review completed (/code-review)
  • All tests pass
  • No debug/console.log statements
  • Rollback plan documented
  • PDCA report generated (/pdca report)
  • Changelog updated

3. Deploy Command Guidance

After checklist is verified, provide the appropriate deploy command:

# Development
npm run deploy:dev    # or project-specific command

# Staging
npm run deploy:staging

# Production
npm run deploy:prod

4. Post-Deploy Verification

After deployment:

  1. Verify the deployment was successful
  2. Check health endpoints (if applicable)
  3. Update PDCA status to "deployed"
  4. Log the deployment in audit trail

Output Format

## Deploy Checklist: {environment}

### Pre-Deploy
- [x] Checkpoint created (ID: chk-20260409-143000)
- [x] Syntax check passed (12 files)
- [x] PDCA match rate: 94%
- [ ] Code review: PENDING

### Deploy Command
Run: `npm run deploy:staging`

### Post-Deploy
- [ ] Verify health endpoint
- [ ] Update PDCA status

Safety Rules

  1. Production requires explicit confirmation - Never auto-deploy to prod
  2. Checkpoint is mandatory - Always create before deploy
  3. Match rate threshold - Warn if below required threshold for environment
  4. Rollback ready - Always provide rollback instructions with checkpoint ID

Signals

GitHub stars
65
Forks
16
Last commit
May 2026
Advanced
Catalog kind
skill
Gateway key
deploy-ww-w-ai
Source
github.com/ww-w-ai/bkit-gemini