What problem does it solve? Deploying to production without a structured process leads to broken releases, undetected errors, and no way to recover when things go wrong. This Skill provides a disciplined launch workflow 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 that must pass before shipping. - Feature Flags & Staged Rollouts: Defines a rollout sequence from internal team enablement through 5% canary to 100% with explicit advance/hold/rollback thresholds for error rate, latency, and business metrics. - Monitoring & Rollback Strategy: Specifies 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 checkout flow, use this Skill to verify the checklist, deploy behind a feature flag, canary to 5% of users, watch error rates against baseline, and roll back instantly if thresholds are breached. ## Quick Start Ask the AI to prepare a production launch plan with a pre-launch checklist, staged rollout schedule, and rollback strategy for your upcoming feature release.
