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literature-review

Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).

75

1.28x
Quality

67%

Does it follow best practices?

Impact

91%

1.28x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./scientific-skills/literature-review/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

90%

14%

Literature Landscape Report: Single-Cell RNA Sequencing in Tumor Heterogeneity

Multi-database search workflow

Criteria
Without context
With context

Min 3 databases

83%

100%

Preprint server included

100%

100%

gget for PubMed/bioRxiv

0%

0%

JSON combined results

100%

100%

search_databases.py used

0%

100%

Deduplication applied

100%

100%

Citation ranking applied

100%

100%

Date searched documented

100%

100%

Search string documented

100%

100%

Result counts documented

100%

100%

100%

6%

Write a Literature Review: Immune Checkpoint Inhibitor Resistance Mechanisms

Review writing with citation verification and PDF output

Criteria
Without context
With context

Template structure used

40%

100%

Thematic results organization

100%

100%

No study-by-study summaries

100%

100%

Citation report generated

100%

100%

Single citation style APA

100%

100%

Consistent in-text citations

100%

100%

PDF file generated

100%

100%

High-citation papers featured

100%

100%

Tier-1 venues noted

100%

100%

84%

41%

Systematic Review Protocol: mRNA Vaccine Efficacy and Durability

Systematic review protocol with figures and quality assessment

Criteria
Without context
With context

PICO framework used

100%

100%

Figure generation attempted

0%

0%

Figure output produced

100%

100%

PRISMA flow diagram present

0%

80%

RCT quality tool named

100%

100%

Observational study quality tool named

0%

100%

Citation threshold criteria documented

0%

100%

Venue tier criteria documented

0%

100%

Thematic synthesis planned

70%

100%

Min 3 databases planned

100%

100%

Repository
K-Dense-AI/claude-scientific-skills
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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