Exposes a static library of Claude Code Skills to dynamic AI agents via the Model Context Protocol.
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Agent Skill Loader functions as a Model Context Protocol (MCP) server, creating a seamless bridge between a user's collection of static Claude Code Skills and dynamic AI agents such as Antigravity, Claude Desktop, or Cursor. This innovative tool allows AI agents to discover, read, and even install skills on demand, eliminating the need for manual file transfers into every project. It streamlines the process of integrating expert knowledge into agent workflows, making agents more adaptable and efficient by providing instant access to a shared library of capabilities.
Key Features
01Dynamically fetch and read skill instructions (SKILL.md content) for AI agents.
02Provide diagnostic debug information for troubleshooting configuration and path issues.
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04Discover available Claude Code Skills by scanning configured directories.
05Manage skill search paths at runtime to add or remove directories.
06Persistently install skills by copying them to the agent's project workspace.
Use Cases
01Enabling various AI agent platforms (Antigravity, Claude Desktop, Cursor) to dynamically learn and integrate new capabilities.
02Automating the discovery and installation of Claude Code Skills into AI agent project workspaces.
03Providing AI agents with on-demand access to specialized knowledge and best practices (e.g., writing DAX measures).
