launch-execution
Launch day execution — staging regression, production readiness, rollback plans, war room setup, launch-day coordination sequence, monitoring protocol, hotfix…
Skill by harmansidhudev
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/launch-execution
What's inside
- Skill name
launch-execution- Description
- Launch day execution — staging regression, production readiness, rollback plans, war room setup, launch-day coordination sequence, monitoring protocol, hotfix process, and support channel setup.
- License
- MIT
- Instructions
- 392 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: "launch-execution" does not match folder "13-launch-execution"
Files (7)
- SKILL.md
- launch-day-protocol.md · references/
- launch-day-sequence.md · references/
- pre-ship-state-verification.md · references/
- rollback-plan-template.md · references/
- staging-regression-checklist.md · references/
- war-room-setup.md · references/
SKILL.md (first lines)
# Launch Execution You handle everything needed to safely ship a product to production and survive launch day. This skill covers staging regression, production readiness verification, rollback plans, war room coordination, launch-day sequencing, monitoring protocol, hotfix procedures, and support channel setup. ## When this skill triggers This skill activates when a developer is preparing for a production deployment, planning a launch day, setting up rollback procedures, configuring monitoring for launch, or coordinating engineering and marketing teams for a public launch (Product Hunt, Hacker News, etc.). --- ## Staging Full Regression Reference: `references/staging-regression-checklist.md` Before any production deployment, run a full regression against staging. This is your last safety net before real users see your code. ### Regression categories | Category | Tests | Priority | |----------|-------|----------| | Auth flows | Login, signup, password reset, OAuth, session expiry | P0 | | Core features | Primary user journey end-to-end | P0 | | Payment flows | Checkout, subscription, webhook handling | P0 | | Email flows | Transactional emails render and deliver | P1 | | Edge cases | Empty states, long inputs, concurrent actions | P1 | | Mobile/responsive | Breakpoints at 375px, 768px, 1024px, 1440px | P1 | | Performance | Core Web Vitals, API response times < 200ms | P2 | | Security | Auth bypass, XSS payloads, CSRF tokens | P0 | ### Regression test protocol 1. Deploy the exact release candidate to staging 2. Run automated test suite (`npm test && npx playwright test`) 3. Manual walkthrough of critical paths (auth, core action, payment) 4. Test on at least 2 browsers (Chrome + Safari/Firefox) 5. Test on at least 1 mobile device or emulator 6. Verify transactional emails with real inbox (not just logs) 7. Check error tracking (Sentry) for zero new errors on staging <!-- beginner --> **Run a staging regression** — Before you push to production, test every important user flow on your staging environment. Staging is a copy of production where mistakes are safe. Go through each category in the checklist: can a new user sign up, log in, do the core action, pay, and receive emails? If anything fails, fix it before deploying. This is the highest-leverage hour you will spend. > Time: ~1-2 hours > Template: See `references/staging-regression-checklist.md` <!-- intermediate --> **Staging regression** — Deploy exact release candidate to staging. Run automated suite. Manual walkthrough of auth, core flow, payment, and email. Cross-browser (Chrome + Safari). Mobile check. Verify Sentry shows zero new errors. Use the staging checklist to track completion. > ~1 hour <!-- senior --> **Staging regression** — RC on staging. Automated suite green. Manual critical-path sweep. Cross-browser + mobile. Sentry clean. Sign off on staging checklist before proceeding. --- ## Pre-Ship State Verification Reference: `references/pre-ship-state-verification.md` <!-- beginner --> **Test every state your users will see** — Before shipping, open your app in an incognito window and check: what happens when there's no data? What happens when the network is slow? What happens when something breaks? If you haven't seen a state, your users will see it first. The pre-ship checklist walks you through every state page-by-page, then checks global things like navigation, modals, themes, and accessibility. > Time: ~30 min for a small app, ~1-2 hours for a larger one > Reference: See `references/pre-ship-state-verification.md` <!-- intermediate --> **Pre-ship state verification** — Binary pass/fail checklist for every UI state. Per-page: empty, loading (3G throttle), populated, error (kill API), mobile (375px), tablet (768px). Global: navigation, modals (focus trap, escape, scroll lock), auth boundaries (redirect + return), themes (parity, persistence, no flash), accessibility (reduced motion, tab order, skip link, labels), performance (first paint, layout shift, lazy loading). > ~30 min – 2 hours | `references/pre-ship-state-verification.md` <!-- senior --> **Pre-ship state verification** — Per-page state matrix (empty/loading/populated/error/mobile/tablet) + global checks (nav, modals, auth boundaries, theme parity, a11y, performance). Binary pass/fail. Different from design audit (analytical) — this is "did you TEST this?" > `references/pre-ship-state-verification.md` --- ## Production Readiness Verification Before flipping the switch, verify every operational concern is handled. ### Production readiness checklist ``` Environment & Config ├── Environment variables set in production (not hardcoded) ├── Production database connection string verified ├── Third-party API keys are production keys (not test/sandbox) ├── Feature flags set to intended launch state ├── Rate limiting configured and tested └── CORS origins restricted to production domains Data & Persistence ├── Database migrations applied and verified ├── Seed data removed / test data cleaned ├── Backup strategy confirmed (automated daily minimum) └── Redis/cache connection verified Monitoring & Alerting ├── Error tracking active (Sentry/Bugsnag) ├── Uptime monitoring configured (Betteruptime/Checkly) ├── Log aggregation working (structured JSON logs) ├── Key metric alerts set (error rate > 1%, p95 > 2s) └── On-call rotation established (even if it is just you) Security ├── HTTPS enforced (HSTS header present) ├── Security headers configured (CSP, X-Frame-Options) ├── Secrets not in source code (gitleaks clean) ├── Auth rate limiting active └── Admin endpoints protected DNS & Networking ├── DNS records pointed to production ├── SSL certificate valid (not expiring within 30 days) ├── CDN configured for static assets └── Custom domain verified ``` <!-- beginner --> **Verify production readiness** — Go through every item in the production readiness checklist above. The most common launch-day failures are: wrong API keys (still using test keys), missing environment variables, database not migrated, and monitoring not turned on. Check each one manually. When in doubt, open a production shell and verify the value directly. > Time: ~30-45 min <!-- intermediate -->
From harmansidhudev/shipwise, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Mar 31, 2026 (7 months ago)
- Last release
- Mar 24, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/harmansidhudev/shipwise
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
launch-execution skill. Agent Mart. https://agentmart.dev/skills/harmansidhudev-launch-execution (last updated 2026-10-24)