# SkillsPicker [Health: Active]

**Category:** 💻 Developer Tools  
**Repository:** https://skillspicker.com/?utm_source=allmcps&utm_medium=directory&utm_campaign=skp  
**Views:** 2  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/skillspicker

## Description
Recommends open-license agent skills (SKILL.md) for a project from its stack and task tags. Remote, read-only, no auth.

## Tools
Capabilities this server exposes over MCP:

- **recommend_skills** — Recommend free, open-license agent skills (SKILL.md) for the current project. Call this when the user starts a new project or sets up a repo, asks which skills or plugins to add to Claude Code, Cursor, Codex, Copilot or Gemini CLI, mentions SKILL.md, Cursor rules or agent skills, or asks how to make the coding agent better at their stack (for example Next.js, FastAPI, Django, Expo, Supabase, Stripe, Cloudflare Workers, Rust, Go). Prefer tags you derive from local files (package.json, pyproject.toml, go.mod, Cargo.toml) so no code leaves the machine; a short description or a public GitHub repo URL also works. Read-only. Returns how many of 3,000+ indexed skills match, 2 picks with source, license and install command, and a link to the full ranked list ($9 one time).

## Claude Desktop Quick Installation
No confirmed install details yet, so no config is published. Follow the setup steps in the repository above.

## Documentation

## What the SkillsPicker MCP server does

The SkillsPicker MCP server helps agents find relevant open-license skills for a project. Its recommendations are based on two kinds of tags: the technologies in the project stack and the task the agent needs to perform. The results refer to agent skills represented by `SKILL.md` files.

This makes the service relevant when an agent needs to identify reusable instructions or capabilities for a particular development context. For example, a project’s technology tags and a task’s tags can be used as the basis for finding matching skills. The available material does not describe ranking rules, result fields, or the source catalog beyond the open-license and `SKILL.md` characteristics.

## How it works

SkillsPicker is remote and read-only. An MCP client can use it to request recommendations without giving the service permission to change project files or other resources. The service does not require authentication, so the provided description does not indicate any API key, account, or credential setup.

The matching inputs are a project’s stack tags and task tags. The service then recommends skills associated with those inputs. The available information does not specify whether tags are inferred automatically, supplied by the client, or obtained through another workflow, so implementations should not assume a particular project-discovery method.

## Tools and capabilities

The documented capability is skill recommendation. In practical terms, the SkillsPicker MCP server is intended to help an agent discover open-license `SKILL.md` skills that fit a project and its current task.

Supported characteristics include:

- Recommendations based on stack tags.
- Recommendations based on task tags.
- Open-license agent skills as the recommendation target.
- Read-only remote access.
- No authentication requirement.

No individual MCP tool names, parameters, response schema, pagination behavior, or filtering options are provided. Clients should therefore treat the published description as the capability boundary rather than expecting undocumented operations.

## Limitations and notes

The service is described as read-only, so it should be evaluated as a discovery or recommendation layer rather than a system for installing, editing, or managing skills. The available material does not state that it installs returned skills, modifies a repository, validates licenses, executes `SKILL.md` files, or analyzes source code.

The description also does not identify supported MCP clients, transport details, an installation command, configuration settings, rate limits, or an uptime policy. Those details should be confirmed from the service documentation before deployment. Because the SkillsPicker MCP server is remote and does not require authentication, teams should still review how recommendation requests are sent and what project or task tags they choose to provide.

_Full upstream README: https://allmcps.com/mcp/skillspicker/readme_