tooluniverse-literature-deep-research

What problem does it solve?

This Skill provides a structured approach to conducting thorough literature reviews on biological targets, including precise identity resolution, evidence-based grading, and thematic synthesis to produce actionable insights.

Core Features & Use Cases

• Target Disambiguation: Resolve gene/protein identities, detect collisions, and build a clean target profile before literature search.
• Evidence Grading & Theming: Apply a standardized T1–T4 evidence scale to claims and cluster findings into reproducible themes.
• Comprehensive Reporting: Generate a full narrative report plus a deduplicated bibliography, suitable for grant writing and strategic planning.
• Model Synthesis: Create an integrated biological model with testable hypotheses based on the literature.

Quick Start

1. Resolve the target identity, aliases, and collisions, then run the full deep-research workflow.
2. Trigger high-precision seed searches, followed by citation expansion and collision-filtered broad queries.
3. Review the generated [topic]_report.md and [topic]_bibliography.json for synthesis and evidence grading.