# loom

> loom — fransdressler-loom. Use this tool when you need to create a self-hosted network of interconnected notes and ideas, leveraging a second-brain approach to organize and link your thoughts. It solves problems of knowledge management, note-taking, and idea connection by providing a modular and customizable system. With inputs from Obsidian vaults and outputs through Claude Code plugin commands, use Loom to build a personalized knowledge base with git version control.

Canonical page: https://skillsregistry.net/skills/fransdressler-loom  
JSON: https://api.skillsregistry.net/v1/skills/fransdressler-loom

## Description

Self-hosted second-brain agent network over an Obsidian vault — cited RAG, a self-healing builder-inbox loop, and life-domain modules. Claude Code plugin (/loom:* commands) + bundled MCP server.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/FransDressler/loom)

## 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": "fransdressler-loom"
    }
  }
}
```

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