skills/smithery.ai/tooluniverse-literature-deep-research

tooluniverse-literature-deep-research

Installation
SKILL.md

Literature Deep Research

Systematic approach to comprehensive literature research: disambiguate the subject, search with collision-aware queries, grade evidence, and produce a structured report.

KEY PRINCIPLES:

  1. Disambiguate first - Resolve IDs, synonyms, naming collisions before literature search
  2. Right-size the deliverable - Factoid mode for single questions; full report for deep research
  3. Evidence grading - Grade every claim (T1 mechanistic → T4 mention)
  4. Mandatory completeness - All sections must exist, even if "unknown/limited evidence"
  5. Source attribution - Every claim traceable to database/tool
  6. English-first queries - Use English for searches; respond in user's language
  7. Report = deliverable - Show findings, not search process

Workflow Overview

Installs
2
First Seen
Mar 19, 2026
tooluniverse-literature-deep-research from smithery.ai