Agent Skills Hub

sparc-methodology

SPARC methodology for multi-agent development: systematic Specification, Pseudocode, Architecture, Refinement, and Completion workflows via Claude Flow orchestration.

writing-skills

A Test-Driven Development (TDD) framework for writing agent skills, using pressure scenarios to ensure documentation guides agent behavior effectively.

react-patterns

Implement React 19 patterns: React Compiler, Server Actions, Forms, and new hooks like 'use'. Guide decisions between Actions vs TanStack Query for mutations.

nuxt-test-skill

A testing utility for the npm-agentskills framework, designed to validate Nuxt module integration and skill discovery patterns.

tasks-documentation

A specialized skill for generating high-quality technical documentation, code comments, API specs, and README patterns. Automates standard documentation workflows for C# and TypeScript projects.

chromium-docs

Search and reference Chromium documentation, including design docs, APIs, and development guides. Use to locate, browse, or learn about architecture, GPU, network, security, and testing concepts within the Chromium codebase.

cofounder-im

Pull validated startup project data and AI-generated build specifications from CoFounder.im to autonomously orchestrate development in OpenClaw.

generate-commit-message

Generates structured, conventional git commit messages based on staged changes.

Python Code Review with Modern Typing

Enforce strict Python 3.12+ type safety and modern annotation standards for high-quality, maintainable codebases.

xurl

Unified CLI tool to read, query, discover, and write AI agent conversations using the agents:// URI scheme across multiple coding agents and providers.

qmd

Local hybrid search engine for markdown notes, documentation, and codebase knowledge bases to reduce token consumption and improve retrieval efficiency.

evaluation

Build systematic evaluation frameworks for AI agents using multi-dimensional rubrics, LLM-as-a-judge, and regression testing to measure performance, quality, and context engineering effectiveness.