# Deep Research Swarm

> Multi-agent research literature analysis

- Skill: `fridrichmethod/deep-research-swarm` (Agent Skill)
- Install (CLI): `npx skillmds@latest add fridrichmethod/deep-research-swarm`
- Raw SKILL.md: https://api.skillmd.com/api/skills/fridrichmethod/deep-research-swarm/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: MIT
- Author: FridrichMethod (https://skillmd.com/u/fridrichmethod)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/fridrichmethod/deep-research-swarm

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# DeepResearch Swarm

A coordinated swarm of agents designed to perform deep, parallelized research into biomedical literature, aggregating findings into comprehensive reports.

## When to Use This Skill

*   When you need an exhaustive review of a specific medical topic.
*   When connecting disparate pieces of evidence across thousands of papers.
*   When generating hypotheses based on recent literature.

## Core Capabilities

1.  **Parallel Search**: Querying multiple databases simultaneously.
2.  **Evidence Synthesis**: Combining facts into a coherent narrative.
3.  **Citation Verification**: Ensuring all claims are backed by sources.

## Example Usage

**User**: "Research the latest advancements in mRNA cancer vaccines."

**Agent Action**:
```bash
python3 src/research/agents/agent_coordinator.py --topic "mRNA cancer vaccines" --depth "deep"
```


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