Multi-agent research literature analysis
--- 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 -->--- 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 -->
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.