# research-hub

> research-hub — wenyuchiou-research-hub. Use this tool when you need to quickly generate research summaries and answers by combining papers, AI briefs, and cached knowledge in approximately 50 seconds. It solves problems of inefficient research and information gathering by integrating Zotero, Obsidian, and NotebookLM for AI agents like Claude, ChatGPT, and Cursor. It takes in research queries and outputs concise summaries and answers, making it ideal for use cases requiring rapid information retrieval and analysis.

Canonical page: https://skillsregistry.net/skills/wenyuchiou-research-hub  
JSON: https://api.skillsregistry.net/v1/skills/wenyuchiou-research-hub

## Description

AI-operable research workspace for Zotero, Obsidian, and NotebookLM. Use any two, or all three, through CLI, MCP, REST, and dashboard.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** data-analytics
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/WenyuChiou/research-hub)

## 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": "wenyuchiou-research-hub"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wenyuchiou-research-hub` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wenyuchiou-research-hub/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