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Agent Skill Loader

by back1plyversion 1.2.1i★ 15iRuns on your computer
Registry nameio.github.back1ply/agent-skill-loader

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 2 of 2 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agent-skill-loader": {
      "command": "npx",
      "args": [
        "-y",
        "agent-skill-loader"
      ]
    }
  }
}

Run this in your terminal

claude mcp add agent-skill-loader -- npx -y agent-skill-loader

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-skill-loader": {
      "command": "npx",
      "args": [
        "-y",
        "agent-skill-loader"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-skill-loader": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "agent-skill-loader"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account back1ply, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 26 days ago

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

  • More stars than 94% of the other 3724 servers in this category
  • Published to the registry more recently than 54% of the other 3724 servers in this category
  • Basic checks equal to or better than 100% of the other 3724 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agent Skill Loader safe?

It passed 2 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 26 days ago, and the latest version (1.2.1) reached the registry 26 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Puter MCP, Agent-Native Slides, Agent-Native Forms

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Puter MCP

Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more

by HeyPuterWidely used★ 44.1KUpdated 5 months ago

Runs in the cloud✓ puter.com

Agent-Native Slides

Agent-Native Google Slides - generate and edit React presentations

by BuilderIOWidely used★ 7.7KUpdated 2 months ago

Runs in the cloud

Agent-Native Forms

Agent-Native form builder - create, edit, and manage forms

by BuilderIOWidely used★ 7.7KUpdated 2 months ago

Runs in the cloud

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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
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": [" /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/ . 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.