What problem does it solve? Deploying to production without a structured process leads to broken releases, undetected errors, and no way to recover quickly. This Skill provides a complete launch framework so every deployment is reversible, observable, and incremental. ## Core Features & Use Cases - Pre-Launch Checklist: Covers code quality, security, performance, accessibility, infrastructure, and documentation gates before any deploy. - Feature Flags & Staged Rollout: Decouples deployment from release with a team → 5% → 25% → 50% → 100% canary sequence and explicit advance/hold/rollback thresholds for error rate, latency, and business metrics. - Monitoring & Rollback Strategy: Defines what to monitor (application, infrastructure, client metrics), post-launch verification steps, error budget release gates, and a documented rollback plan template. - Use Case: Before releasing a new task-sharing feature, run the checklist, deploy behind a feature flag, canary to 5% of users, watch error rates against baseline for 48 hours, then gradually roll out with a one-minute flag-based rollback ready. ## Quick Start Ask the AI to prepare a production launch plan with a pre-launch checklist, staged rollout, and rollback strategy for your upcoming release.