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:

python3 src/research/agents/agent_coordinator.py --topic "mRNA cancer vaccines" --depth "deep"