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# Agent Skill Loader 🧠

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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 Claude Desktop, Cursor, or any MCP client).

It exposes skills both as **MCP Prompts** (slash commands, zero tool calls needed) and as **MCP Tools** (for programmatic use). Skills are auto-discovered from configured directories and stay live — add a new `SKILL.md` and the client is notified automatically.

## 🚀 Features

- **MCP Prompts**: Skills appear as slash commands in clients. No tool call needed to inject them.
- **Live updates**: `listChanged` notification fires when skills are added or removed (via file watcher).
- **Discovery**: `list_skills` — scans configured skill directories, with optional search filter.
- **Dynamic Learning**: `read_skill` — fetches the `SKILL.md` content.
- **Persistence**: `install_skill` — copies a skill permanently to your project.
- **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)
```bash
npm install -g agent-skill-loader
```

Then register in `.mcp.json`:
```json
"agent-skill-loader": {
  "command": "agent-skill-loader"
}
```

### Option B: Build from Source
```bash
git clone https://github.com/back1ply/agent-skill-loader.git
cd agent-skill-loader
npm install
npm run build
```

Then register in `.mcp.json`:
```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:

1. **Default**: `%USERPROFILE%\.claude\plugins\cache` (Standard location)
2. **Dynamic Config**: `skill-paths.json` (Located in the project root)

### Environment Variables

| Variable | Description |
|----------|-------------|
| `MCP_SKILL_PATHS` | JSON array or semicolon/comma-separated list of additional skill paths |
| `MCP_WORKSPACE_ROOT` | Override auto-detected workspace root |
| `MCP_NO_WATCH` | Set to `1` to disable the file watcher (useful in CI) |

### 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/updates `skill-paths.json`.

## 🤖 Usage

### MCP Prompts (Slash Commands)

If your client supports MCP Prompts (Claude Desktop, Cursor, etc.), skills appear automatically as slash commands. Select a skill from the slash command menu to inject its content directly — no tool calls needed.

### Tools

The agent has access to five tools:

- `list_skills(query?)`: Returns a JSON list of available skills. Optional `query` filters by name/description substring (case-insensitive).
- `read_skill(skill_name)`: Returns the markdown instructions for a skill.
- `install_skill(skill_name, target_path?)`: Copies the skill 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).

### 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 answer with expert knowledge. Or the user can invoke the skill directly as a slash command.

## 🔧 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:
```json
{
  "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 (tools + prompts + watcher).
- `src/utils.ts`: Skill scanning, description extraction, prompt helpers, debounce.
- `build/`: Compiled JavaScript output.
- `package.json`: Dependencies (`@modelcontextprotocol/sdk`, `chokidar`, `zod`).

## 🤝 Contributing

To add new skills, add a folder with a `SKILL.md` file to one of the watched directories. The server picks them up automatically and sends a `listChanged` notification — no restart required.

TDQS

A4.2/5.0

Scored across 5 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: manage_search_paths handles configuration, debug_info provides diagnostics, install_skill copies directories, list_skills enumerates available skills, and read_skill retrieves content. There is no meaningful overlap between them.

Naming Consistency5/5

All tool names use snake_case with a consistent verb_noun structure (manage_search_paths, debug_info, install_skill, list_skills, read_skill). The pattern is predictable and easy to parse.

Tool Count5/5

Five tools is well-scoped for a skill loader: discovery, reading, installation, path management, and debugging. Each tool earns its place without redundancy.

Completeness4/5

The core lifecycle of discovering, reading, and installing skills is covered, plus configuration and diagnostics. However, there is no tool to uninstall or remove an installed skill or update an existing one, which are minor gaps.

Maintenance

ActivityMaintained
ResponsivenessLimited data