<< All versions
Skill v1.0.0
currentLLM-judged scan90/100daisynaliaka400-afk/infotech-services/shipping-and-launch
──Details
PublishedOctober 23, 2026 at 01:34 AM
Content Hashsha256:ca6797cb36b69099...
Git SHAbad33e4bfcdb
──Files
Files (1 file, 3.2 KB)
SKILL.md3.2 KBactive
SKILL.md · 129 lines · 3.2 KB
version: "1.0.0" name: shipping-and-launch description: Prepares production launches. Use when preparing to deploy to production, need a pre-launch checklist, setting up monitoring, planning a staged rollout, or need a rollback strategy. license: MIT
Shipping and Launch
Prepares production launches with checklists, monitoring, staged rollout, and rollback strategy.
When to Use This Skill
Trigger conditions:
- User preparing to deploy to production
- User asks for pre-launch checklist
- User setting up monitoring
- User planning staged rollout
- User needs rollback strategy
Pre-Launch Checklist
Code Quality
- [ ] All tests passing
- [ ] No
console.login production code - [ ] Error handling covers expected failure modes
Security
- [ ] No secrets in code or version control
- [ ]
npm auditshows no critical/high vulnerabilities - [ ] Input validation on all user-facing endpoints
- [ ] Authentication and authorization checks in place
- [ ] Security headers configured (CSP, HSTS)
- [ ] Rate limiting on authentication endpoints
- [ ] CORS configured to specific origins (not wildcard)
Performance
- [ ] Core Web Vitals within "Good" thresholds
- [ ] No N+1 queries in critical paths
- [ ] Images optimized
- [ ] Bundle size within budget
- [ ] Database queries have appropriate indexes
Monitoring
- [ ] Error tracking configured
- [ ] Latency monitoring in place
- [ ] Health check endpoint available
- [ ] Logging configured
Staged Rollout
Strategy
markdown
## Staged Rollout Plan### Stage 1: Internal (5-10%)-Who: Internal team-Purpose: Smoke test in production-like environment-Duration: 1-2 days### Stage 2: Beta Users (10-25%)-Who: Beta users / power users-Purpose: Real-world testing-Duration: 2-7 days### Stage 3: Percentage Rollout (25-100%)-Who: All users-Purpose: Full release-Duration: Based on stability
Rollout Metrics
Monitor:
- Error rate
- Latency (P95)
- Conversion rates
- User feedback
Rollback Strategy
Every deployment needs a rollback plan:
markdown
## Rollback Plan### Trigger Conditions-Error rate > 2x baseline-P95 latency > [X]ms-User reports of specific issues### Rollback Steps1.Disable feature flag (if applicable)OR1.Deploy previous version2.Verify rollback3.Communicate with team### Time to Rollback-Feature flag: < 1 minute-Redeploy: < 5 minutes-Database rollback: < 15 minutes
Post-Launch Verification
In the first hour after launch:
- Check health endpoint returns 200
- Check error monitoring dashboard
- Check latency dashboard
- Test critical user flow manually
- Verify logs are flowing
- Confirm rollback mechanism works
Common Rationalizations
| Rationalization | Reality | |
|---|---|---|
| "It works in staging, it'll work in production" | Production has different data and edge cases | |
| "We don't need feature flags" | Every feature benefits from a kill switch | |
| "Monitoring is overhead" | Without monitoring, users tell you about problems |
See Also
references/security-checklist.md- Security pre-launch checksreferences/performance-checklist.md- Performance checklistreferences/accessibility-checklist.md- Accessibility verification