Suggest Skills
БесплатноНе проверенAn MCP server that generates skill manifests from GitHub skills directories and provides tools to recommend and download AI agent skills.
Описание
An MCP server that generates skill manifests from GitHub skills directories and provides tools to recommend and download AI agent skills.
README
Key Features
- Generates skill manifest from a GitHub skills directory
- MCP server for recommending and downloading repository-specific AI agent skills
- Supports
stdioand 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 Riskcolumn.
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 containSKILL.md<owner>.<repo>[.<path>].designs.md: entries collected from skill directories that containDESIGN.md<owner>.<repo>[.<path>].agents.md: entries collected from flat top-level markdown files, withNameandDescriptioncolumns 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.mdandDESIGN.mdare 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.mdandDESIGN.mdare discovered from direct child directories of the generate root - With
--recursive, only subdirectory search is expanded, so nested directories are also scanned forSKILL.mdandDESIGN.md - Root-level markdown files for
.agents.mdare still discovered the same way whether--recursiveis present or not - Output file naming stays based on the original generate root whether
--recursiveis present or not - Output file names are normalized to remove redundant type suffixes (e.g.,
some-skills.mdinstead ofsome-skills.skills.skills.md) DESIGN.mdreads optionalnameanddescriptionfrom YAML front matter, and emitsNonewhen 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 skillsgenerate [-r|--recursive] <github-url>: generate markdown inventories from a GitHub skills directory or repo rootserver --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.mdas the starting point for intended behavior and direction
Установить Suggest Skills в Claude Desktop, Claude Code, Cursor
unyly install suggest-skillsСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add suggest-skills -- npx -y suggest-skillsFAQ
Suggest Skills MCP бесплатный?
Да, Suggest Skills MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Suggest Skills?
Нет, Suggest Skills работает без API-ключей и переменных окружения.
Suggest Skills — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Suggest Skills в Claude Desktop, Claude Code или Cursor?
Открой Suggest Skills на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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