github-workflow-automation
AI-driven GitHub Actions automation featuring swarm-based workflow orchestration, intelligent CI/CD pipeline management, and autonomous repository maintenance.
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136 skills found
AI-driven GitHub Actions automation featuring swarm-based workflow orchestration, intelligent CI/CD pipeline management, and autonomous repository maintenance.
Manage CI/CD workflows, Docker containerization, and infrastructure configurations for the multi-chain crypto wallet system.
Automated PR CI monitoring and failure resolution agent.
Full-stack SDLC agent workflow managing the entire production lifecycle from intake and planning to automated testing, CI/CD, and infrastructure deployment using MCP tools.
Review, fix, and resolve GitHub PR review comments automatically.
Run GitHub Actions CI workflows locally using nektos/act in Docker. Test your CI configurations, debug workflow failures, and validate pipeline changes without pushing code to GitHub.
Deploy specialized AI swarms to perform comprehensive, multi-domain GitHub pull request reviews covering security, performance, architecture, and style.
Debug failing GitHub Actions CI checks by fetching logs, summarizing failures, and planning fixes.
Manage full PR lifecycles: auto-generate descriptions from commits, use work-type templates, handle review requests, and automate status updates.
Automates GitHub release creation by generating formatted changelogs from conventional commits and managing version bumps.
Coordinates cross-repository updates for GitHub Actions runner configurations, ensuring workflow labels match runner scale sets to prevent job queuing.
Automates the release process by creating a pull request from main to production with automated semantic versioning calculations.