What problem does it solve? Coordinating a software release involves many error-prone manual steps: bumping versions, generating changelogs, running validation suites, building artifacts for multiple platforms, publishing to registries, and handling rollbacks when deployments fail. This Skill automates and orchestrates that entire GitHub release pipeline. ## Core Features & Use Cases - Automated Release Orchestration: Semantic version suggestion, breaking-change detection, categorized changelog generation, and GitHub release creation via the gh CLI. - Multi-Stage Validation & Deployment: Pre-release checks (lint, tests, security scans), multi-platform builds, progressive staged rollouts, and automated rollback triggers based on error-rate and latency thresholds. - Swarm-Coordinated Workflows: Optional AI swarm coordination for monorepo multi-package releases, cross-repository synchronized releases, and emergency hotfix fast-tracking. - Use Case: A team tagging v2.0.0 can generate a categorized changelog from merged PRs, run the full validation suite, build binaries for Linux/macOS/Windows, publish to npm and Docker, and monitor post-release health metrics from one workflow. ## Quick Start Ask the AI to create a draft GitHub release for version 2.0.0 with generated release notes and a full validation run before publishing.