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

Note that 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/skills/ALL.md",
        "https://github.com/sator-imaging/suggest-skills/blob/main/community/skills/ALL.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:

• Official Skills, Agents and Designs

• Community Skills, Agents and Designs

Automatically updated everyday by cron workflow.

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