io.github.back1ply/agent-skill-loader

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Dynamically load Claude Code skills into AI agents without copying files.

Que pouvez-vous faire avec io.github.back1ply/agent-skill-loader ?

  • 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.

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

NPM package agent-skill-loader
Claude Code
claude mcp add agent-skill-loader -- npx -y agent-skill-loader@1.2.1
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "agent-skill-loader": {
            "command": "npx",
            "args": [
                "-y",
                "agent-skill-loader@1.2.1"
            ]
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Agent Skill Loader 🧠
  2. 🚀 Features
  3. 🛠️ Setup
  4. 📂 Configuration
  5. 🤖 Usage
  6. 🔧 Troubleshooting
  7. 📦 Project Structure
  8. 🤝 Contributing

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 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
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:

  1. Default: %USERPROFILE%\.claude\plugins\cache (Standard location)
  2. Dynamic Config: skill-paths.json (Located in the project root)
Environment Variables
VariableDescription
MCP_SKILL_PATHSJSON array or semicolon/comma-separated list of additional skill paths
MCP_WORKSPACE_ROOTOverride auto-detected workspace root
MCP_NO_WATCHSet 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:

{
  "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.

Questions fréquentes

Qu'est-ce que io.github.back1ply/agent-skill-loader ?

Dynamically load Claude Code skills into AI agents without copying files.

Comment installer io.github.back1ply/agent-skill-loader ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add agent-skill-loader -- npx -y agent-skill-loader@1.2.1. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.back1ply/agent-skill-loader ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

io.github.back1ply/agent-skill-loader est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.back1ply/agent-skill-loader ?

Il est publié par back1ply. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.