Dynamically load Claude Code skills into AI agents without copying files.
{
"mcpServers": {
"io-github-back1ply-agent-skill-loader": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Dynamically load Claude Code skills into AI agents without copying files.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 81 days ago. 6 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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Agent Skill Loader is a Model Context Protocol (MCP) server that acts as a bridge between your static Claude Code Skills library and dynamic AI agents (like Antigravity, Claude Desktop, or Cursor).
It allows agents to "learn" skills on demand without requiring you to manually copy files into every project.
list_skills - Scans your configured skill directories.read_skill - Fetches the SKILL.md content for the agent to read.install_skill - Copies the skill permanently to your project if needed.manage_search_paths - Add/remove skill directories at runtime.debug_info - Diagnose configuration and path issues.npm install -g agent-skill-loader
Then register in .mcp.json:
"agent-skill-loader": {
"command": "agent-skill-loader"
}
git clone https://github.com/back1ply/agent-skill-loader.git
cd agent-skill-loader
npm install
npm run build
Then register in .mcp.json:
"agent-skill-loader": {
"command": "node",
"args": ["<path-to-repo>/build/index.js"]
}
The server automatically detects its workspace and aggregates skill paths from:
%USERPROFILE%\.claude\plugins\cache (Standard location)skill-paths.json (Located in the project root)You do not need to manually edit config files. Use the tool to manage paths at runtime:
manage_search_paths(operation="add", path="F:\\My\\Deep\\Skills")manage_search_paths(operation="remove", path="...")manage_search_paths(operation="list") creates/updates skill-paths.json.The agent will see five tools:
list_skills(): Returns a JSON list of available skills.read_skill(skill_name): Returns the markdown instructions.install_skill(skill_name, target_path?): Copies the folder to .agent/skills/<name>. For security, target_path must be within the current workspace.manage_search_paths(operation, path?): Add, remove, or list skill search paths.debug_info(): Returns diagnostic information (paths, status, warnings)."I need to write a DAX measure but I'm not sure about the best practices."
The agent will automatically call list_skills, find writing-dax-measures, call read_skill, and then answer you with expert knowledge.
If skills aren't being discovered, use debug_info() to see:
Example output:
{
"workspace_root": "C:/projects/agent-skill-loader",
"search_paths": {
"base": ["C:/Users/pc/.claude/plugins/cache"],
"dynamic": ["F:/My/Skills"],
"effective": ["C:/Users/pc/.claude/plugins/cache", "F:/My/Skills"]
},
"path_status": [
{ "path": "C:/Users/pc/.claude/plugins/cache", "exists": true, "readable": true },
{ "path": "F:/My/Ski
... [View full README on GitHub](https://github.com/back1ply/agent-skill-loader#readme)