# super-nlm

> super-nlm — aaradhya-dev-tamrakar-super-nlm. Use this tool when you need to automate research workflows across multiple accounts and notebooks, streamlining collaboration and version control through git integration. It solves problems of manual data synchronization and model updates, providing a centralized hub for NotebookLM research. The super-nlm tool accepts notebook and model inputs, outputting automated research workflows and synchronized data through its Model Context Protocol (FastMCP) server.

Canonical page: https://skillsregistry.net/skills/aaradhya-dev-tamrakar-super-nlm  
JSON: https://api.skillsregistry.net/v1/skills/aaradhya-dev-tamrakar-super-nlm

## Description

Multi-account NotebookLM research automation hub & Model Context Protocol (FastMCP) server

## Trust

- **Trust score (0–1):** 0.13
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Aaradhya-Dev-Tamrakar/super-nlm)

## 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": "aaradhya-dev-tamrakar-super-nlm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aaradhya-dev-tamrakar-super-nlm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aaradhya-dev-tamrakar-super-nlm/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