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Deep research swarm

Skill FridrichMethod/awesome-skills/skills/deep-research-swarm

Curated, auto-synced collection of 2,000+ Claude Code & Codex skills for AI4Protein, bioinformatics, AI development, and academic paper writing. One curl command installs them all.

Install
npx -y skills add FridrichMethod/awesome-skills --skill deep-research-swarm

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  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
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What its author says it does

Copied from the file, not written here

Multi-agent research literature analysis

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

1.7 KB, as published. Nobody here has run it

<!-- # COPYRIGHT NOTICE # This file is part of the "Universal Biomedical Skills" project. # Copyright (c) 2026 MD BABU MIA, PhD <[email protected]> # All Rights Reserved. # # This code is proprietary and confidential. # Unauthorized copying of this file, via any medium is strictly prohibited. # # Provenance: Authenticated by MD BABU MIA -->

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"
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->

Keep looking

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