AI Agent Skills

Agentic orchestrator for parallel coding agents — plans tasks, spawns agents, and autonomously handles CI fixes, merge conflicts, and code reviews.

GitHub Actions Importer helps you plan and automate the migration of Azure DevOps, Bamboo, Bitbucket, CircleCI, GitLab, Jenkins, and Travis CI pipelines to GitHub Action…

Digger is an open source IaC orchestration tool. Digger allows you to run IaC in your existing CI pipeline ⚡️

QA Wolf from anywhere — your terminal, your CI, your AI agent.

A lightweight LDAP server for development, home use, or CI

🦙 MegaLinter analyzes 50 languages, 22 formats, 21 tooling formats, excessive copy-pastes, spelling mistakes and security issues in your repository sources with a GitHu…

Analyzes git diffs against a stated intent to detect scope creep, unrelated files, broad pull requests, changes that grew beyond a fix, dependency additions, pu

Cluster a GitHub issue backlog by root cause into a small set of plan-master issues, redirect children with a standardized comment, and bundle architectural-fix PRs that…

Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns…

Audit URLs using Lighthouse and test performance with Lighthouse CI.

Write, refine, run, and QA non-redteam promptfoo eval suites after the target or provider already works: prompts, vars, test cases, assertions, model-graded rubrics, tra…

Use when you have lint errors, formatting issues, or before committing code to ensure it passes CI.

🛠️ Self-Hosted ephemeral macOS CI on Apple Silicon

Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA…

Author and review GitHub Actions workflow YAML safely so syntactically-valid YAML can't ship a workflow that GitHub Actions refuses to run. USE FOR: editing, adding, or…

A codex plugin for running optimization loops inside a codebase. It is useful when you have a measurable target and many possible changes to try: test runtime, build spe…