Deploy Skill
SkillCloud & infraDeployment 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.
No other account needed.
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
| Command | Description | Example |
|---|---|---|
/deploy dev | Deploy to development | /deploy dev |
/deploy staging | Deploy to staging | /deploy staging |
/deploy prod | Deploy 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:
- Call
bkit_checkpointto create a restore point - Record the checkpoint ID for potential rollback
- 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 -con 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
TODOorFIXMEin 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:
- Verify the deployment was successful
- Check health endpoints (if applicable)
- Update PDCA status to "deployed"
- 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
- Production requires explicit confirmation - Never auto-deploy to prod
- Checkpoint is mandatory - Always create before deploy
- Match rate threshold - Warn if below required threshold for environment
- 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