·tooluniverse-literature-deep-research
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tooluniverse-literature-deep-research

mims-harvard/tooluniverse

Conduct comprehensive literature research with target disambiguation, evidence grading, and structured theme extraction. Creates a detailed report with mandatory completeness checklist, biological model synthesis, and testable hypotheses. For biological targets, resolves official IDs (Ensembl/UniProt), synonyms, naming collisions, and gathers expression/pathway context before literature search. Outputs report-only by default; methodology in separate appendix if requested. Use when users need thorough literature reviews, target profiles, or ask "what does the literature say about X?".

44Installs·3Trend·@mims-harvard

Installation

$npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-literature-deep-research

SKILL.md

A systematic approach to comprehensive literature research that starts with target disambiguation to prevent missing details, uses evidence grading to separate signal from noise, and produces a content-focused report with mandatory completeness sections.

| Gene symbol (EGFR, TP53, ATP6V1A) | Biological target | Phase 1 required | | Protein name ("V-ATPase", "kinase") | Biological target | Phase 1 required | | UniProt ID (P00533, Q93050) | Biological target | Phase 1 required | | Disease, pathway, method | General topic | Phase 1 optional | | "Literature on X" | Depends on X | Assess X |

CRITICAL: This phase prevents "missing target details" when literature is sparse or noisy.

Conduct comprehensive literature research with target disambiguation, evidence grading, and structured theme extraction. Creates a detailed report with mandatory completeness checklist, biological model synthesis, and testable hypotheses. For biological targets, resolves official IDs (Ensembl/UniProt), synonyms, naming collisions, and gathers expression/pathway context before literature search. Outputs report-only by default; methodology in separate appendix if requested. Use when users need thorough literature reviews, target profiles, or ask "what does the literature say about X?". Source: mims-harvard/tooluniverse.

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Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-literature-deep-research
Category
</>Dev Tools
Verified
First Seen
2026-02-05
Updated
2026-02-18

Quick answers

What is tooluniverse-literature-deep-research?

Conduct comprehensive literature research with target disambiguation, evidence grading, and structured theme extraction. Creates a detailed report with mandatory completeness checklist, biological model synthesis, and testable hypotheses. For biological targets, resolves official IDs (Ensembl/UniProt), synonyms, naming collisions, and gathers expression/pathway context before literature search. Outputs report-only by default; methodology in separate appendix if requested. Use when users need thorough literature reviews, target profiles, or ask "what does the literature say about X?". Source: mims-harvard/tooluniverse.

How do I install tooluniverse-literature-deep-research?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-literature-deep-research Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/mims-harvard/tooluniverse