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Suggest Skills

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An MCP server that generates skill manifests from GitHub skills directories and provides tools to recommend and download AI agent skills.

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About

An MCP server that generates skill manifests from GitHub skills directories and provides tools to recommend and download AI agent skills.

README

npm test

Key Features

  • Generates skill manifest from a GitHub skills directory
  • MCP server for recommending and downloading repository-specific AI agent skills
  • Supports stdio and HTTP runtime modes from the same codebase

[!IMPORTANT] This tool doesn't provide security checks. To find official skills repository, visit: https://skills.sh/official

Getting Started

Example MCP Configuration

{
  "mcpServers": {
    "suggest-skills": {
      "command": "npx",
      "args": [
        "-y",
        "suggest-skills",
        "--",
        "--output=.agents/skills",
        "https://github.com/sator-imaging/suggest-skills/blob/main/official/official-skills.md",
        "https://github.com/sator-imaging/suggest-skills/blob/main/community/community-skills.md"
      ],
      "env": {
        "SUGGEST_SKILLS_MANIFEST_URLS": [
          "https://some/skill-manifest.md",
          "https://other/skill-manifest.md"
        ]
      }
    }
  }
}

Official & Community Skills

Prebuilt skill manifests can be found in this repository:

[!TIP] Security scanning is provided by NVIDIA SkillSpector via the CI workflow. Each skill is scanned individually and the resulting risk value is written to the Security Risk column.

Generate a Manifest

npx suggest-skills generate \
  https://github.com/OWNER/REPO/tree/main/skills
npx suggest-skills generate \
  --recursive \
  https://github.com/OWNER/REPO/tree/main/skills

This may write the following files in the current working directory:

  • <owner>.<repo>[.<path>].skills.md: entries collected from skill directories that contain SKILL.md
  • <owner>.<repo>[.<path>].designs.md: entries collected from skill directories that contain DESIGN.md
  • <owner>.<repo>[.<path>].agents.md: entries collected from flat top-level markdown files, with Name and Description columns only
  • Accepts plain GitHub repository URLs in generate mode by assuming repo root on main

Generate mode uses these rules:

  • GitHub directory discovery uses a recursive tree listing internally
  • SKILL.md and DESIGN.md are discovered in skill directories, and bundled assets are any other files next to them or in nested subdirectories
  • Symlinks found during generate are not handled specially; they may appear in bundled assets, but are not traversed
  • Without --recursive, SKILL.md and DESIGN.md are discovered from direct child directories of the generate root
  • With --recursive, only subdirectory search is expanded, so nested directories are also scanned for SKILL.md and DESIGN.md
  • Root-level markdown files for .agents.md are still discovered the same way whether --recursive is present or not
  • Output file naming stays based on the original generate root whether --recursive is present or not
  • Output file names are normalized to remove redundant type suffixes (e.g., some-skills.md instead of some-skills.skills.skills.md)
  • DESIGN.md reads optional name and description from YAML front matter, and emits None when description is missing
  • flat top-level markdown files with front matter are treated as agent definitions for .agents.md
  • Empty generated outputs are skipped, so no file is written and no overwrite prompt is shown for them

Configuration

Environment Variables

GITHUB_PAT is optional and is used for authenticated requests to api.github.com.

SUGGEST_SKILLS_MANIFEST_URLS is required and must contain at least one URL.

Accepted formats:

  • JSON array
  • Comma-separated string
  • Newline-separated string

GitHub blob URLs are converted to raw.githubusercontent.com URLs automatically.

CLI Options

  • -o <dir> or --output <dir>: output directory for installed skills
  • generate [-r|--recursive] <github-url>: generate markdown inventories from a GitHub skills directory or repo root
  • server --port <number>: run the streamable HTTP server

Default output directory:

.agents/skills

Run in stdio Mode

SUGGEST_SKILLS_MANIFEST_URLS='["https://some/skill-manifest.md"]' \
  npx suggest-skills

Run in HTTP Mode

SUGGEST_SKILLS_MANIFEST_URLS='["https://some/skill-manifest.md"]' \
  npx suggest-skills server --port 3100

The HTTP endpoint is served at http://localhost:3100/mcp and the health check is available at http://localhost:3100/health.

MCP Tools

suggest_skills

Accepts an optional manifestUrl to overwrite the default configuration.

Returns a generated instruction payload that tells an agent how to:

  • Fetch available skills from configured manifests
  • Scan locally installed skills
  • Compare remote and local capabilities
  • Present suggestions without installing anything until requested

fetch_manifest

Accepts a manifest URL and returns its text content.

download_skill

Accepts a GitHub folder URL in the form:

https://github.com/<owner>/<repo>/tree/<ref>/<path>

Returns every file in that folder with:

  • Path relative to the requested folder
  • UTF-8 text content
  • File symlinks are downloaded when GitHub provides a download_url
  • Repository-relative directory symlinks are resolved and downloaded recursively

Technology Stack

  • Bun
  • TypeScript
  • @modelcontextprotocol/sdk
  • Zod

Project Architecture

Config -> MCP tool registration -> stdio or HTTP transport

CLI generate -> GitHub directory scan -> manifest markdown file
             \-> GitHub URL normalization / folder download

Coding Standards

The codebase follows a few clear implementation patterns:

  • Small focused modules with runtime concerns split by file
  • Explicit config validation through ConfigError
  • Typed tool schemas and structured output for MCP tools
  • Minimal transport wrappers around shared server creation
  • Tests centered on observable behavior rather than implementation detail

Contributing

  • Keep changes aligned with the MCP server's current responsibilities
  • Prefer updating shared logic in src/core.ts, src/config.ts, and helper modules before adding transport-specific behavior
  • Add or update tests when changing config parsing, MCP responses, or GitHub download behavior
  • Use SPEC.md as the starting point for intended behavior and direction

from github.com/sator-imaging/suggest-skills

Install Suggest Skills in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install suggest-skills

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add suggest-skills -- npx -y suggest-skills

FAQ

Is Suggest Skills MCP free?

Yes, Suggest Skills MCP is free — one-click install via Unyly at no cost.

Does Suggest Skills need an API key?

No, Suggest Skills runs without API keys or environment variables.

Is Suggest Skills hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Suggest Skills in Claude Desktop, Claude Code or Cursor?

Open Suggest Skills on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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