install
source · Clone the upstream repo
git clone https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/deep-research-swarm" ~/.claude/skills/freedomintelligence-openclaw-medical-skills-deep-research-swarm && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/deep-research-swarm" ~/.openclaw/skills/freedomintelligence-openclaw-medical-skills-deep-research-swarm && rm -rf "$T"
manifest:
skills/deep-research-swarm/SKILL.mdsource content
<!--
# 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
-->
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
- Parallel Search: Querying multiple databases simultaneously.
- Evidence Synthesis: Combining facts into a coherent narrative.
- Citation Verification: Ensuring all claims are backed by sources.
Example Usage
User: "Research the latest advancements in mRNA cancer vaccines."
Agent Action:
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->python3 src/research/agents/agent_coordinator.py --topic "mRNA cancer vaccines" --depth "deep"