---
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
---

<!--
# 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.
#
# Provenance: Authenticated by MD BABU MIA

-->


# 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"
```


<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->

---
Source attribution: FreedomIntelligence
Original project: https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 FridrichMethod

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

---

NOTE ON BUNDLED CONTENT

This repository aggregates skills from multiple upstream projects (see the
README for the source list). Each `skills/<name>/` directory may carry its
own license inherited from its upstream source. The MIT license above
applies to this repository's curation and the scripts/workflows in `/`,
`/scripts/`, and `/.github/` — not to the upstream skill content itself.
Consult the upstream repository linked in the README and any LICENSE
file inside a skill directory before reusing skill content commercially.



# Mega AI Hub resource metadata

Creator / publisher: FreedomIntelligence
Original project: https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills
Attribution basis: Exact package in biomedical source index and publisher source table

Fields of work: Data & Analytics, Education & Research, Healthcare & Life Sciences
Roles: Business Intelligence Analyst, Clinical Research, Data Scientist, Medical Writer, Researcher
Specialties: API
Tools: Tool not specified
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 6303c34be10cb47ed43adc93b026ff669b022fb4fdf7569b844f3e970709279e
Metadata reviewed: 2026-10-27
This metadata supersedes earlier Mega AI Hub catalog attribution. Original instruction and supporting files are preserved.