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deep-research-swarm

Research
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How to use this skill

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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/beita6969/ScienceClaw/blob/HEAD/skills/deep-research-swarm/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

  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"