# research-assistant

> Use this tool when you need to efficiently manage and organize large amounts of information, solve knowledge gaps, and streamline research processes. It takes in unstructured data and outputs organized knowledge, providing a user-friendly interface for easy access and retrieval. Ideal for agents requiring accurate and up-to-date information to inform decision-making and task completion.

Canonical page: https://skillsregistry.net/skills/johstracke-research-assistant  
JSON: https://api.skillsregistry.net/v1/skills/johstracke-research-assistant

## Description

Organized research and knowledge management for agents.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** search
- **Updated:** 2026-04-22

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/johstracke-research-assistant)

## 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": "johstracke-research-assistant"
    }
  }
}
```

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