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Glama
ANeuronI

skills.sh MCP Server

by ANeuronI
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}
prompts
{}
resources
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
search_skillsA

Search for skills on skills.sh by query term.

CRITICAL WORKFLOW FOR AI AGENTS:

  1. Parse user intent and generate 3-5 diverse keywords (e.g., for "scrape websites", use "web scraping", "puppeteer", "crawler").

  2. Call this tool multiple times with different keywords if the first results are poor.

  3. DO NOT recommend a skill immediately. You MUST use 'get_skill_details' on top candidates to check their install counts and platforms first.

  4. Recommend the top 1-3 skills and provide the npx install command.

get_skill_detailsA

Get detailed information about a specific skill. Use this tool ALWAYS after 'search_skills' to vet a skill before recommending it. It provides critical data like total installs, weekly installs, and supported platforms. Extract 'owner', 'repo', and 'skillId' from the search results table.

get_popular_skillsC

Get popular skills from the leaderboard

get_install_commandB

Get the npx install command for a skill

Prompts

Interactive templates invoked by user choice

NameDescription
skills-search-workflowLoad the standard workflow instructions for searching and vetting skills.

Resources

Contextual data attached and managed by the client

NameDescription
Skills.sh Agent Workflow InstructionsCritical step-by-step workflow for the AI agent to follow when searching and recommending skills.
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.8/5.0

Scored across 4 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: searching, getting details, retrieving install commands, and viewing popular skills. No overlap or ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., get_install_command, search_skills), making them predictable and easy to understand.

Tool Count5/5

With 4 tools covering search, details, install commands, and popular skills, the set is well-scoped for a skill discovery and installation server—neither too sparse nor excessive.

Completeness5/5

The tools provide a complete workflow: search for skills, examine details, retrieve install commands, and browse popular skills. No obvious gaps for the stated purpose.

Maintenance

ActivitySlowing
ResponsivenessNo issues

Resources