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 disciplined launch workflow covering pre-launch verification, feature flags, staged rollouts, monitoring, and rollback planning 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 deploying. - Feature Flag & Staged Rollout Strategy: Defines a deploy-dark, canary-at-5%, then 25% → 50% → 100% rollout sequence with explicit advance/hold/rollback thresholds for error rate, latency, and business metrics. - Monitoring & Rollback Planning: Specifies what to monitor (application, infrastructure, client metrics), post-launch verification steps, and a rollback plan template with trigger conditions and time-to-rollback targets. - Use Case: Before releasing a new task-sharing feature, use this Skill to verify the checklist, ship behind a feature flag, canary to 5% of users, watch error-rate dashboards, and roll back in under a minute if error rates double. ## 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.
