# MegaResearcher

> MegaResearcher — lhqezio-megaresearcher. Use this tool when you need to accelerate research workflows and generate novel hypotheses through automated gap-finding and adversarial critique. The MegaResearcher plugin solves problems of inefficient research processes and limited hypothesis generation by integrating multiple tools and libraries, accepting research specs as input and producing falsifiable hypotheses as output. It is ideal for use in complex research projects that require collaborative, iterative, and rigorous testing of ideas.

Canonical page: https://skillsregistry.net/skills/lhqezio-megaresearcher  
JSON: https://api.skillsregistry.net/v1/skills/lhqezio-megaresearcher

## Description

Research-team-swarm plugin for Claude Code. Spec-driven workflows: gap-finding, novel hypothesis generation with falsification criteria, adversarial red-team critique. Bundles HF/arxiv/web/GitHub MCP tools and integrates deeply with the superpowers skill library.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** version-control
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/lhqezio/MegaResearcher)

## 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": "lhqezio-megaresearcher"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lhqezio-megaresearcher` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lhqezio-megaresearcher/pull`

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