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:

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