# multi-agent-research-assistant

> multi-agent-research-assistant — kushalsai-01-multi-agent-research-assistant. Use this tool when you need to automate in-depth research on any topic, leveraging a collaborative multi-agent system to extract insights and generate comprehensive reports. It solves problems of manual research, data analysis, and report writing, providing a streamlined interface for inputting research topics and outputting detailed reports. Ideal for use cases requiring autonomous research and analysis, such as academic studies, market research, or business intelligence.

Canonical page: https://skillsregistry.net/skills/kushalsai-01-multi-agent-research-assistant  
JSON: https://api.skillsregistry.net/v1/skills/kushalsai-01-multi-agent-research-assistant

## Description

A LangGraph multi-agent system where 4 AI agents autonomously research any topic, extract insights, write a report, and self-review with a conditional revision loop — powered by Groq (LLaMA 3.3 70B), FastAPI, React, and Supabase.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/kushalsai-01/multi-agent-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": "kushalsai-01-multi-agent-research-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kushalsai-01-multi-agent-research-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kushalsai-01-multi-agent-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
