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 repeatable 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 release. - Feature Flags & Staged Rollout: Decouples deployment from release with a flag lifecycle and a canary sequence (5% → 25% → 50% → 100%) with explicit advance/hold/rollback thresholds. - Monitoring & Rollback Strategy: Defines what to monitor (application, infrastructure, client metrics), error budget release gates, and a documented rollback plan template. - Use Case: Before shipping a new task-sharing feature, run the checklist, deploy behind a feature flag, enable it for 5% of users, watch error rate and P95 latency against the thresholds table, and roll back in under a minute if error rate doubles. ## Quick Start Ask the AI to prepare a production launch plan with a pre-launch checklist, staged rollout, and rollback strategy for your next release.