Agent skills

Skills you can use with AI coding agents, indexed from public GitHub repositories.

Latest Most Popular

mcaf-devex Improve developer experience for multi-component solutions: onboarding, F5 contract, cross-platform tasks, local inner loop, and reproducible setup. Use when the repo is hard to run, debug, test, or onboard into.
managedcode/MCAF 47
mcaf-ml-ai-delivery Apply ML/AI project delivery guidance for data exploration, feasibility, experimentation, testing, responsible AI, and operating ML systems. Use when the repo includes model training, inference, data science workflows, or ML-specific delivery planning.
managedcode/MCAF 47
mcaf-nfr Capture or refine non-functional requirements such as accessibility, reliability, scalability, maintainability, performance, and compliance. Use when a feature or architecture change needs explicit quality attributes and trade-offs.
managedcode/MCAF 47
mcaf-ci-cd Design or refine CI/CD workflows, quality gates, release flow, and safe AI-assisted pipeline authoring. Use when adding or changing build pipelines, release stages, IaC-driven environments, or deployment rollback policy.
managedcode/MCAF 47
mcaf-solution-governance Set up or refine solution-level governance for MCAF repositories: root and project-local `AGENTS.md`, rule precedence, solution topology, skill routing, and maintainability-limit policy placement. Use when bootstrapping a repo, restructuring a multi-project solution, or tightening agent rules.
managedcode/MCAF 47
mcaf-security-baseline Apply baseline engineering security guidance: secrets handling, secure defaults, threat modelling references, and review checkpoints for auth, data flow, pipelines, and external integrations. Use when a change has security impact but does not require a full standalone AppSec engagement.
managedcode/MCAF 47
mcaf-testing Add or update automated tests for a change using the repository’s verification rules in `AGENTS.md`. Use when implementing a feature, bugfix, refactor, or regression test; prefer stable integration/API/UI coverage and pull deeper test strategy from the bundled references.
managedcode/MCAF 47
mcaf-feature-spec Create or update a feature spec under `docs/Features/` with business rules, user flows, system behaviour, verification, and Definition of Done. Use when the user asks for a feature spec, executable requirements, acceptance criteria, behaviour documentation, or a pre-implementation plan for non-trivial behaviour changes.
managedcode/MCAF 47
experiment-design Best practices for designing reproducible experiments
Yeachan-Heo/My-Jogyo 162
ml-rigor Enforces baseline comparisons, cross-validation, interpretation, and leakage prevention for ML pipelines
Yeachan-Heo/My-Jogyo 162
data-analysis Patterns for data loading, exploration, and statistical analysis
Yeachan-Heo/My-Jogyo 162
experiment-design Best practices for designing reproducible experiments
Yeachan-Heo/My-Jogyo 162
ml-rigor Enforces baseline comparisons, cross-validation, interpretation, and leakage prevention for ML pipelines
Yeachan-Heo/My-Jogyo 162
data-analysis Patterns for data loading, exploration, and statistical analysis
Yeachan-Heo/My-Jogyo 162
grading-claude-agents-md Grades and improves CLAUDE.md (Claude Code) and AGENTS.md (Codex/OpenCode) configuration files. Use when asked to grade, score, evaluate, audit, review, improve, fix, optimize, or refactor agent config files. Triggers on 'grade my CLAUDE.md', 'score my AGENTS.md', 'is my CLAUDE.md too big', 'improve my agent config', 'fix my CLAUDE.md', 'optimize context usage', 'reduce tokens in CLAUDE.md', or 'audit my config files'. Automatically grades both files if present, generates improvement plan, and implements changes on approval.
SpillwaveSolutions/grading-claude-agents-md-agentic-skill 3
setup-to-pyproject Migrate Python projects from setup.py/setup.cfg to pyproject.toml for use with uv. Use when upgrading legacy Python packaging, converting setup.py to modern pyproject.toml format, setting up dependency groups for development/testing, and ensuring `uv run pytest` works correctly.
simonw/skills 40
cogapp-markdown Use cogapp to auto-generate sections of markdown documentation by embedding Python code that produces content. Use when a project needs to keep documentation in sync with code, such as embedding CLI --help output in README files, generating tables, or any content that should be derived from the code itself rather than manually maintained.
simonw/skills 40
uv-tdd A development process for Python applications that uses TDD to iterate on a new project based around uv. Use when Claude needs to create a new Python project, write Python code with tests, or work on Python development using test-driven development practices with the uv package manager.
simonw/skills 40
upgrade-actions Upgrade GitHub Actions workflows
simonw/skills 40
castella-agent-ui Build chat interfaces and agent management UIs with Castella. Create chat components, display tool calls, manage multiple agents, and build agent hubs.
i2y/castella 39
castella-packaging Package Castella applications for distribution using ux, PyInstaller, or Nuitka. Create executables, macOS app bundles, and cross-compile for other platforms.
i2y/castella 39
castella-core Build desktop, web, or terminal UIs with Castella. Create widgets, components, layouts, manage reactive state, handle events, and use the theme system.
i2y/castella 39
castella-a2a Connect to A2A protocol agents from Castella. Communicate with agents, display agent cards, send messages, handle responses, and stream results.
i2y/castella 39
castella-mcp Enable AI agents to introspect and control Castella UIs via MCP. Create MCP servers, expose UI resources, handle MCP tools, and use semantic IDs.
i2y/castella 39