Skill843 repo starsupdated 4d ago

deep-research-swarm

Deep-research-swarm coordinates multiple agents to perform parallelized analysis of biomedical literature, generating comprehensive reviews with extensive citations in minimal time. Use this skill when you need exhaustive literature synthesis across thousands of papers, evidence aggregation for hypothesis generation, or verification of claims across disparate biomedical sources.

View source Repository: ScienceClaw

Install in Claude Code

Copy

git clone --depth 1 https://github.com/beita6969/ScienceClaw /tmp/deep-research-swarm && cp -r /tmp/deep-research-swarm/skills/deep-research-swarm ~/.claude/skills/deep-research-swarm

Then start a new Claude Code session; the skill loads automatically.

Definition

SKILL.md

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# COPYRIGHT NOTICE
# This file is part of the "Universal Biomedical Skills" project.
# Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>
# All Rights Reserved.
#
# This code is proprietary and confidential.
# Unauthorized copying of this file, via any medium is strictly prohibited.
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---
name: deep-research-swarm
description: Multi-agent research literature analysis
keywords:
  - research
  - literature
  - swarm
  - multi-agent
  - hypothesis
measurable_outcome: Generates comprehensive literature review with >50 citations in <5 minutes.
license: MIT
metadata:
  author: Biomedical OS Team
  version: "1.0.0"
compatibility:
  - system: Python 3.10+
allowed-tools:
  - run_shell_command
  - read_file
  - google_web_search
---

# 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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