What problem does it solve? Deploying to production without a checklist, monitoring, or a rollback plan leads to avoidable outages and slow incident response. This Skill gives AI coding agents 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 Rollout: Defines a flag lifecycle and a canary sequence (5% → 25% → 50% → 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 rollback plan template. - Use Case: Before releasing a new task-sharing feature, use this Skill to verify the checklist, deploy behind a feature flag, canary to 5% of users, and roll back automatically if error rates exceed 2x baseline. ## Quick Start Ask the agent to prepare a production launch plan with a pre-launch checklist, staged rollout, and rollback strategy for your feature.
