agent-skill-loader
Dynamically load Claude Code skills into AI agents without copying files.
MCP 服务配置
复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用
{
"mcpServers": {
"agent-skill-loader": {
"args": [
"agent-skill-loader@1.0.2"
],
"command": "npx"
}
}
}
可用工具 (5 个)
该服务在 MCP 协议中暴露的工具,AI 可按需调用
tavily_search 14 个参数 需填 1 项
Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
必填参数:query
tavily_extract 6 个参数 需填 1 项
Extract content from URLs. Returns raw page content in markdown or text format.
必填参数:urls
tavily_crawl 11 个参数 需填 1 项
Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
必填参数:url
tavily_map 8 个参数 需填 1 项
Map a website's structure. Returns a list of URLs found starting from the base URL.
必填参数:url
tavily_research 2 个参数 需填 1 项
Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.
必填参数:input
服务介绍
Agent Skill Loader 🧠
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.
# 🚀 Features
- Discovery:
list_skills- Scans your configured skill directories. - Dynamic Learning:
read_skill- Fetches theSKILL.mdcontent for the agent to read. - Persistence:
install_skill- Copies the skill permanently to your project if needed. - Configuration:
manage_search_paths- Add/remove skill directories at runtime. - Troubleshooting:
debug_info- Diagnose configuration and path issues.
# 🛠️ Setup
# # Prerequisites
- Node.js >= 18
# # Option A: Install from npm (Recommended)
npm install -g agent-skill-loader
Then register in .mcp.json:
"agent-skill-loader": {
"command": "agent-skill-loader"
}
# # Option B: Build from Source
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"]
}
# 📂 Configuration
The server automatically detects its workspace and aggregates skill paths from:
- Default:
%USERPROFILE%\.claude\plugins\cache(Standard location) - Dynamic Config:
skill-paths.json(Located in the project root)
# # Dynamic Path Management
You do not need to manually edit config files. Use the tool to manage paths at runtime:
- Add:
manage_search_paths(operation="add", path="F:\\My\\Deep\\Skills") - Remove:
manage_search_paths(operation="remove", path="...") - List:
manage_search_paths(operation="list")creates/updatesskill-paths.json.
# 🤖 Usage
# # For Agents
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_pathmust 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).
# # Example Agent Prompt
"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.
# 🔧 Troubleshooting
If skills aren't being discovered, use debug_info() to see:
- search_paths: Which directories are being scanned
- path_status: Whether each path exists and is readable
- warnings: Any errors encountered during scanning (permission denied, empty files, etc.)
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" }
]
}
# 📦 Project Structure
src/index.ts: Main server logic.build/: Compiled JavaScript output.package.json: Dependencies (@modelcontextprotocol/sdk,zod).
# 🤝 Contributing
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).