Deep research swarm
Skill BioTender-max/awesome-bio-agent-skills/skills/openclaw/deep-research-swarm
A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.
npx -y skills add BioTender-max/awesome-bio-agent-skills --skill deep-research-swarmAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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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"