Dynamically load Claude Code skills into AI agents without copying files.
Dynamically load Claude Code skills into AI agents without copying files.
Valid MCP server (2 strong, 4 medium validity signals). 1 code issue detected. 2 known CVEs in dependencies (0 critical, 2 high severity) Imported from the Official MCP Registry. 2 finding(s) downgraded by scanner intelligence.
6 files analyzed ยท 4 issues found
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Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-back1ply-agent-skill-loader": {
"args": [
"-y",
"agent-skill-loader"
],
"command": "npx"
}
}
}From the project's GitHub README.
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/Skills", "exists": false, "readable": false }
],
"skills_found": 12,
"warnings": [
{ "path": "F:/My/Skills", "reason": "Directory does not exist" }
]
}
src/index.ts: Main server logic.build/: Compiled JavaScript output.package.json: Dependencies (@modelcontextprotocol/sdk, zod).To add new skills, simply add a folder with a SKILL.md file to one of the watched directories. The server picks them up automatically (no restart required for new files, though caching implementation may vary).
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