Agent Skills Hub

github

Manage GitHub workflows, issues, and pull requests directly from your terminal using the gh CLI within OpenClaw.

evaluating-code-models

Evaluate code generation models using BigCode Evaluation Harness. Benchmarks include HumanEval, MBPP, and MultiPL-E with pass@k metrics for multi-language coding models.

lsp

Implementation and maintenance guide for the atopile Language Server (LSP), providing IDE features like autocomplete and diagnostics for electronics design.

maishou

Real-time e-commerce price comparison and coupon hunting across major Chinese platforms like Taobao, JD, Pinduoduo, and more.

context-engineering-collection

A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.

new-analyzer

Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.

workflows-plan

Transforms feature requests, bug reports, and improvement ideas into structured, actionable markdown project plans using repository research and industry best practices.

quality-fixer

Automatically apply safe quality fixes including formatting (Black, isort), linting (Ruff auto-fixes), and resolving formatter conflicts to maintain Python code quality.

ring:writing-skills

A framework for applying Test-Driven Development to process documentation, ensuring agent reliability by using pressure scenarios to identify and patch rationalization loopholes.

massgen-release-documenter

Standardized workflow and checklist assistant for MassGen release documentation, covering changelogs, Sphinx docs, case studies, and roadmap synchronization.

pattern-detection

Analyze and identify codebase patterns (naming, architecture, testing) to maintain consistency and enforce standards during development.

skill-from-github

Create high-performance AI skills by reverse-engineering successful GitHub projects and proven open-source methodologies.