Open Source Agent Skills
Agent skills are reusable packages of instructions, domain knowledge, and workflows that help AI agents handle specific tasks more reliably. They provide relevant context and step-by-step procedures when needed, reducing repeated prompting and helping agents follow consistent practices across coding, research, and other work. Skills can be adapted to particular tools or environments and may include scripts, examples, or reference materials alongside written guidance.
Open source options include skill collections, task-specific workflow packages, authoring utilities, and frameworks for organizing or evaluating skills. When choosing one, check its license, documentation, maintenance activity, compatibility with your agent and workflow, and any runtime or access requirements. Review how skills are loaded and whether their instructions are clear, secure, and easy to customize. These resources are useful to developers, teams, and researchers building or extending AI agents.
25 repositories · updated October 3, 2026
skills: A Collection of Agent Skills for Building Great Interfaces
The `skills` repository by Jakub Krehel offers a comprehensive collection of agent skills designed to enhance interface development. It provides tools and guidelines covering UI, typography, colors, accessibility, layout, and product writing. This resource is invaluable for developers and designers aiming to create high-quality, user-friendly interfaces.
karpathy-llm-wiki: Build a Karpathy-Style LLM Knowledge Base
karpathy-llm-wiki is an Agent Skills-compatible tool that implements Karpathy's LLM Wiki idea, allowing users to build a durable knowledge base. It enables LLMs to maintain structured wiki pages by ingesting sources, compiling knowledge, and answering questions with citations. This project offers a robust alternative to traditional RAG for compounding knowledge over time.
best-skills: Daily-Updated Rankings for Top Agent Skills
The LinklyAI/best-skills repository offers daily-updated rankings of the top 100 agent skills. It aggregates data on installs, growth, and social buzz from various platforms like skills.sh, ClawHub, Tencent SkillHub, GitHub, and X. This open-data project provides a comprehensive, cross-ecosystem view of agent skill performance, making it an invaluable resource for developers and researchers.
book-to-skill: Transform Technical Books into AI Agent Skills
book-to-skill is a Python project that converts technical books, documents, or source collections into structured agent skills. It allows AI agents like GitHub Copilot CLI or Claude Code to load content on demand, providing accurate answers without hallucination. This tool optimizes learning and reference by distilling complex information into an easily queryable format.
awesome-agent-skills: Find Skills for AI Coding Agents
A curated index of agent skills from official developer teams and the community, for use with tools such as Claude Code, Codex, Gemini CLI, and Cursor. Browse by provider and task to find reusable guidance for development workflows.
Awesome Agent Skills: A Curated Directory for AI Coding Agents
Awesome Agent Skills is a comprehensive directory of skills, tools, and plugins designed for AI coding agents. It stands out by covering various agent skill ecosystems, including Agent Skills (SKILL.md), MCP servers, Cursor rules, and more, all in one centralized location. This resource helps developers and AI enthusiasts discover and implement capabilities across different AI agent platforms.
AgentSkills: A Curated Collection for LLM Agent Skills and Resources
AgentSkills is an extensive curated collection of resources, papers, tools, projects, and frameworks focused on building and deploying skills for large language models. This repository serves as a central hub for understanding the LLM skills ecosystem, from Anthropic's official systems to academic research and open-source agent frameworks. It is an invaluable resource for anyone exploring the rapidly evolving field of AI agents.
microsoft/skills: Empowering AI Coding Agents with Domain-Specific Knowledge
The microsoft/skills repository provides a comprehensive collection of skills, custom agents, and configurations designed to enhance AI coding agents. It offers domain-specific knowledge for working with Azure SDKs and Microsoft AI Foundry, enabling more effective and context-driven development. Developers can leverage these resources to ground agents like GitHub Copilot with specialized expertise.
awesome-skills: Community Skills for Apify Agents
A community collection of agent skills that guide AI coding assistants in using Apify Actors for tasks such as research, lead generation, and data collection. Install the collection with the skills CLI and use it with supported coding agents.
Agent Skills: A Standardized Way to Give AI Agents New Capabilities
Agent Skills provides a lightweight, open format for extending AI agent capabilities with specialized knowledge and workflows. It allows packaging procedural knowledge and context into portable, version-controlled folders that agents load on demand. This enables agents to gain domain expertise, follow repeatable workflows, and reuse skills across various compatible AI tools.
agent-skills: HashiCorp Agent Skills and Claude Code Plugins
The `agent-skills` repository from HashiCorp offers a valuable collection of Agent skills and Claude Code plugins, specifically designed for HashiCorp products like Terraform and Packer. It empowers developers to integrate AI assistant capabilities directly into their infrastructure-as-code workflows. This project aims to streamline operations and enhance productivity by providing pre-built skills for various tasks.
agent-skills: Give Coding Agents Engineering Workflows
A portable set of structured engineering workflows for AI coding agents, covering work from requirements and planning through testing, review, and release. Useful for teams that want agents to follow consistent quality and verification practices.