| 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"
