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 rolling back when deployments fail. This Skill automates that entire pipeline using the GitHub CLI and AI swarm coordination. ## Core Features & Use Cases - Automated Release Pipeline: Semantic version suggestion, categorized changelog generation from commits and merged PRs, and draft release creation via gh release. - Swarm-Orchestrated Validation: Coordinates specialized agents (version manager, QA engineer, deployment analyst) to run lint, tests, security scans, and cross-platform builds in parallel. - Progressive Deployment & Rollback: Staged rollouts (canary to full) with metric-based auto-rollback triggers, plus emergency hotfix workflows for critical patches. - Use Case: A maintainer tagging v2.0.0 can trigger a GitHub Actions workflow that generates the changelog, builds binaries for Linux/macOS/Windows, publishes to npm and Docker, and monitors post-release health automatically. ## Quick Start Ask the AI to prepare and create a draft GitHub release for version 2.0.0 with a generated changelog and full test validation.
