tooluniverse-literature-deep-research

Conduct collision-aware literature searches and evidence-graded syntheses for academic topics.

Updated Apr 18, 2026
One-click install
npx skills add https://github.com/Centaurioun/osteogenesis_imperfecta --skill tooluniverse-literature-deep-research-centaurioun
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tooluniverse-literature-deep-research
Source: https://github.com/Centaurioun/osteogenesis_imperfecta/tree/main/.agents/skills/tooluniverse-literature-deep-research
Command: npx skills add https://github.com/Centaurioun/osteogenesis_imperfecta --skill tooluniverse-literature-deep-research-centaurioun

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a repeatable, collision-aware workflow to discover, validate, and synthesize academic literature so users can turn diffuse search results into actionable, evidence-graded reports without missing key citations or conflating ambiguous terms.

Core Features & Use Cases

  • Target disambiguation: resolves identifiers, synonyms, and naming collisions across domains (genes, drugs, diseases, CS topics).
  • Citation network expansion: builds seed sets and expands via forward/backward citations to recover sparse literatures.
  • Evidence grading & themes: applies T1–T4 grading, clusters themes, and produces an integrated biological or topic model with testable hypotheses.
  • Full-text verification: tiered strategy for extracting snippets or full text from OA sources and fallbacks for paywalled content.
  • Deliverables: structured 15-section reports, [topic]_bibliography.json and .csv, and optional methods appendix for reproducibility.

Quick Start

Run a collision-aware, citation-expanded literature review on "ATP6V1A" and deliver a full 15-section report with an evidence-graded bibliography.

Frequently Asked Questions about tooluniverse-literature-deep-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the best way to export a citation-expanded bibliography?

The best way to export a citation-expanded bibliography is to generate structured outputs like JSON and CSV files, ensuring completeness checks are satisfied alongside an optional methods appendix for reproducibility.

How do I conduct a literature review without missing key citations or conflating ambiguous terms?

To conduct a collision-aware literature review, you must first resolve target disambiguation for identifiers and synonyms, then use citation network expansion to build seed sets and recover sparse literatures without missing key citations.

What is T1-T4 evidence grading in evidence synthesis?

T1-T4 evidence grading is a tiered classification system used in evidence synthesis to evaluate the strength of literature, allowing researchers to cluster themes and produce an integrated topic model with testable hypotheses.

How do I extract full text from paywalled academic sources for verification?

To extract full text from paywalled academic sources, apply a tiered full-text verification strategy that prioritizes extracting snippets or full text from open access sources before utilizing fallbacks for restricted content.

Can I use this approach for biomedical targets and computer science topics?

Yes, this approach applies to biomedical targets, drugs, diseases, and computer science topics, resolving naming collisions across domains to produce citation-expanded bibliographies and structured multi-section reports.

What is the best way to export a citation-expanded bibliography?

The best way to export a citation-expanded bibliography is to generate structured outputs like JSON and CSV files, ensuring completeness checks are satisfied alongside an optional methods appendix for reproducibility.