SkillKit serves as a universal bridge for AI coding agents, functioning as the package manager for AI agent skills. It enables developers to write skills once and deploy them across 32 different AI coding agents including Claude Code, Cursor, Codex, Windsurf, GitHub Copilot, and many others.

The platform offers smart recommendations where AI analyzes your codebase and recommends from 15,000+ skills. It features auto-translation capabilities that allow writing skills once and automatically translating them to 32 different agent formats. Session memory ensures AI learnings persist across sessions and projects. Primer automatically generates agent instructions for all 32 agents from your codebase. The skill tree provides browsing of 15K+ skills in a hierarchical taxonomy with 12 categories. Workflows enable composing multi-step automated skill sequences. Team sync uses Git-based .skills manifest for consistency. Built-in testing framework includes assertions, and CI/CD integration supports GitHub Actions, GitLab CI, and pre-commit hooks. REST & MCP APIs provide REST server, MCP server, and Python client for runtime discovery.

The system works by providing a universal skill platform that translates skills between different AI agent formats automatically. It uses a Git-based approach for team synchronization and maintains persistent memory across sessions. The platform aggregates skills from various sources including official repositories from Anthropic, Vercel, Expo, Remotion, Supabase, Stripe, and community repositories.

Benefits include eliminating the need to rewrite skills for different AI agents, maintaining consistency across teams, and providing access to a large marketplace of pre-built skills. Use cases include multi-agent development where developers can use the same skills across Claude Code, Cursor, Windsurf and other agents. Team collaboration is enhanced through shared .skills manifests that ensure everyone has the same capabilities. New project setup becomes easier as Primer analyzes codebases and auto-generates optimized instructions.

The target users include developers working with AI coding agents, teams managing multiple AI agents, and enterprises running AI agents across infrastructure. The platform integrates with existing developer workflows through Git-based synchronization and provides APIs including REST server, MCP server, and Python client for programmatic access.