
5 Best GitHub Repositories for AI Agent Skills
Explore five popular AI agent skill collections that help coding agents plan, test, debug, review, and build better software.
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npx skills add addyosmani/agent-skills
Or browse the skills first:
npx skills add addyosmani/agent-skills --list
You can also install individual skills:
npx skills add addyosmani/agent-skills --skill test-driven-development
The Skills CLI supports 70+ coding agents, including Claude Code, Cursor, Codex, Copilot, and Cline.
After going through these collections, what I like most is how different the approaches are.
Superpowers gives you a full engineering methodology, Matt Pocock keeps things small and composable, ECC turns the coding agent into more of an engineering platform, Awesome LLM Apps focuses on experimentation, and Addy Osmani brings everything back to production-quality software.
For me, the best approach is not to install everything. I would pick the workflows that actually match how I work, test them on real projects, and then customize the SKILL.md files over time.
That is where agent skills become really useful: you are not just making the agent smarter, you are teaching it how you want software to be built.
Abid Ali Awan (@1abidaliawan) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Master's degree in technology management and a bachelor's degree in telecommunication engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.
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