# br8n

> br8n — jagma-br8n. Use this tool when you need to quickly find relevant information within your local notes, papers, and past agent sessions. It solves problems of knowledge retrieval and information overload by providing semantic search capabilities, allowing you to efficiently locate specific concepts and ideas. It integrates with agents like Claude Code and Codex, accepting text-based queries and returning relevant results from your local repository.

Canonical page: https://skillsregistry.net/skills/jagma-br8n  
JSON: https://api.skillsregistry.net/v1/skills/jagma-br8n

## Description

Local semantic search over your notes, papers and past agent sessions, injected into Claude Code, Codex and other agents

## 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:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Jagma/br8n)

## 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": "jagma-br8n"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jagma-br8n` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jagma-br8n/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