What problem does it solve? Deploying to production without a structured process leads to broken releases, undetected regressions, and no way to recover quickly. This Skill provides a disciplined launch workflow so every deployment is reversible, observable, and incremental. ## Core Features & Use Cases - Pre-Launch Checklists: Covers code quality, security, performance, accessibility, infrastructure, and documentation gates before any deploy. - Feature Flags and Staged Rollouts: Decouples deployment from release with a flag lifecycle and a canary sequence (5% → 25% → 50% → 100%) governed by explicit advance/hold/rollback thresholds. - Monitoring and Rollback Plans: Defines what to monitor post-launch, error reporting patterns, and a documented rollback plan with trigger conditions and time-to-rollback targets. - Use Case: You are releasing a new task-sharing feature to production. Use this Skill to verify the pre-launch checklist, deploy behind a feature flag, canary to 5% of users while watching error-rate and latency thresholds, then roll out fully and clean up the flag. ## Quick Start Ask the AI to walk you through the shipping-and-launch checklist and build a rollout and rollback plan for your upcoming production deployment.
