What problem does it solve? Managing GitHub Actions workflows manually involves repetitive YAML authoring, slow failure diagnosis, and unoptimized pipelines. This Skill automates workflow generation, optimization, failure analysis, and release coordination using GitHub CLI and swarm-based agent orchestration. ## Core Features & Use Cases - Workflow Generation & Optimization: Analyze a codebase, detect languages, and generate optimized CI/CD pipeline YAML with caching, parallelization, and dynamic test matrices. - Swarm-Coordinated GitHub Modes: Use specialized modes like pr-manager, release-manager, code-reviewer, and security-guardian to coordinate pull requests, releases, and security scans. - Failure Diagnosis & Self-Healing: Analyze failed workflow runs, classify failure patterns, and suggest or apply fixes automatically. - Use Case: A team maintaining a monorepo uses the skill to detect changed packages, generate a dynamic build matrix, run parallel tests, and coordinate a versioned release across multiple repositories. ## Quick Start Ask the AI to analyze this repository and generate an optimized GitHub Actions CI workflow with parallel test execution and security scanning.