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?".
Installation
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.
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
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-05