# c2b

> c2b — dizeldz20-ux-claude-second-brain. Use this tool when you need to recall context from a merged knowledge graph of your Obsidian vault and code projects, enabling efficient searching, neighbor finding, and path discovery to inform file editing decisions. It solves problems of knowledge fragmentation and disconnected information, providing a unified view of your projects. The tool accepts a local brain.json file as input and outputs relevant context and connections, making it ideal for offline use cases where integrated knowledge retrieval is crucial.

Canonical page: https://skillsregistry.net/skills/dizeldz20-ux-claude-second-brain  
JSON: https://api.skillsregistry.net/v1/skills/dizeldz20-ux-claude-second-brain

## Description

Enables Claude to recall context from a merged knowledge graph of your Obsidian vault and code projects, providing tools to search, find neighbors, and discover paths before editing files. Works offline by reading a local brain.json.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fi53p6ifps)
- **Repository:** <https://github.com/dizeldz20-ux/claude-second-brain>

## 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": "dizeldz20-ux-claude-second-brain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dizeldz20-ux-claude-second-brain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dizeldz20-ux-claude-second-brain/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