# SkillsBoard

> SkillsBoard — tommybez-skillsboard. Use this tool when you need to discover and manage AI skills recommended by a team, with features to search, retrieve, and save skills through a secure remote server connection. It solves problems of skill discovery, version control, and collaboration, providing a centralized library of skills with authenticated access. Ideal for teams looking to streamline AI skill management and sharing, with inputs including search queries and outputs including install commands and skill collections.

Canonical page: https://skillsregistry.net/skills/tommybez-skillsboard  
JSON: https://api.skillsregistry.net/v1/skills/tommybez-skillsboard

## Description

Skills Board is a free, open-source (MIT) shared library for the AI skills a team recommends, with every skill kept connected to its original source. Agents connect through an authenticated remote MCP server (browser sign-in, no API key to copy) to search team skills and collections, retrieve install commands, and save new skills.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w093oxzn3x)
- **Repository:** <https://github.com/TommyBez/skillsboard>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tommybez-skillsboard"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tommybez-skillsboard` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tommybez-skillsboard/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt