<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> SkillKit addresses the fragmentation of AI coding agent skills by providing a universal package manager. It enables developers to write skills once and deploy them across 44+ agents, including Claude, Cursor, and Copilot, eliminating the need for format-specific rewrites and fostering cross-platform skill sharing.

How It Works

SkillKit functions as an open-source package manager for AI agent skills, facilitating installation, translation, and sharing. It auto-translates skills between diverse agent formats, supports skill discovery via a large marketplace or local sources, and offers features like session memory persistence and AI-driven skill generation. This approach standardizes skill management across heterogeneous AI agent ecosystems.

Quick Start & Requirements

Installation is straightforward via npm, pnpm, yarn, or bun: npm install -g skillkit. Usage typically begins with npx skillkit@latest init to detect agents and set up directories. Key resources include the Website, Docs, and API Explorer.

Highlighted Details

• Supports integration with over 44 distinct AI coding agents.
• Provides access to a marketplace featuring more than 15,000 pre-built skills.
• Enables seamless auto-translation of skills between agent-specific formats.
• Offers advanced capabilities such as AI-driven skill generation, session memory capture, mesh networking for distributed agents, and team collaboration via shared skill manifests.
• Includes programmatic APIs for TypeScript and Python, alongside a REST API server.

Maintenance & Community

The project highlights official partnerships with organizations like Anthropic, Vercel, Expo, Supabase, and Stripe, integrating their respective skill repositories. It also references numerous community-driven skill repositories, indicating active community involvement.

Licensing & Compatibility

SkillKit is licensed under the Apache License 2.0. This permissive license generally allows for commercial use and integration within closed-source projects without significant restrictions.

Limitations & Caveats

The provided README does not explicitly detail limitations such as alpha status, known bugs, or unsupported platforms. The breadth of supported agents and the scale of the marketplace are presented as key features.