# Bluefin Linux Context

> Use this tool when you need to understand and manage Bluefin Linux systems, particularly for troubleshooting and configuration tasks. It provides a semantic layer that explains custom systemd units, Flatpak policies, and hardware compatibility, solving problems related to system updates, GPU diagnostics, and container workflows. Ideal for use in contexts where Linux-based atomic desktop systems require customized management and troubleshooting.

Canonical page: https://skillsregistry.net/skills/bluefin-linux  
JSON: https://api.skillsregistry.net/v1/skills/bluefin-linux

## Description

Semantic layer for Project Bluefin atomic desktop systems built on Universal Blue. Complements linux-mcp-server by explaining Bluefin-specific custom systemd units, ujust recipes, Flatpak policies, developer mode features, and hardware compatibility. Exposes 16 user scenarios including update troubleshooting, GPU diagnostics, container workflows, and laptop evaluation. Written in Go with comprehensive documentation generation.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/bluefin-linux)
- **Repository:** <https://github.com/projectbluefin/bluefin-mcp>

## 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": "bluefin-linux"
    }
  }
}
```

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