Analysis updated 2026-05-18
Install coding standards and best practices as reusable skills that all team members' AI agents follow automatically.
Create custom instruction sets for your AI agent to handle project-specific patterns, naming conventions, or architectural rules.
Share and discover pre-built skills from the community to extend your agent's capabilities without writing code.
Manage multiple versions of skills across projects and keep them synchronized with symlinks or file copies.
| vercel-labs/skills | wangeditor-team/wangeditor | elizaos/eliza | |
|---|---|---|---|
| Stars | 18,341 | 18,337 | 18,364 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | easy | easy | moderate |
| Complexity | 2/5 | 2/5 | 3/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
This repository contains a command-line tool (run via npx) for managing "agent skills", reusable instruction sets that extend the behavior of AI coding agents. A skill is defined as a markdown file with some metadata at the top, and once installed, the coding agent reads these files to gain new capabilities or follow specific guidelines. The tool supports a wide range of coding agents and works by installing skill files into the appropriate directory each agent looks in for instructions. Skills can be installed from a GitHub or GitLab repository, a local directory, or a direct git URL. They can be installed for a single project (committed alongside project code so a whole team shares them) or globally for all projects on a machine. The main commands let users add skills from a source, list what is installed, search for available skills, update installed skills to newer versions, remove skills, and create a template for writing a new skill. Skills can be installed as symlinks (so all agents share one copy that is easy to update) or as file copies (for environments where symlinks are not supported).
A command-line tool for installing and managing reusable instruction sets (skills) that teach AI coding agents new capabilities and guidelines.
Mainly TypeScript. The stack also includes TypeScript, Node.js, npm/npx.
License could not be detected automatically. Check the repository's LICENSE file before use.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.