Literature Review

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Conducts systematic literature reviews across scientific databases including PubMed, arXiv, bioRxiv, and Semantic Scholar. Synthesizes findings from multiple papers, identifies research gaps, maps citation networks, and produces structured review documents suitable for grant proposals or publication introductions.

Варианты использования

  • Systematic literature reviews for grant proposals
  • Mapping the state of the art in a research field
  • Identifying research gaps and open questions
  • Generating annotated bibliographies with key findings
  • Comparing methodologies across multiple studies
  • Building citation networks to find seminal papers

Пример промпта

Conduct a literature review on the topic of "transformer architectures for protein
structure prediction" covering the last 3 years.

Steps:
1. Search PubMed and arXiv for relevant papers
2. Categorize papers by approach (language models, diffusion, GNNs, etc.)
3. Extract key metrics and benchmarks from each paper
4. Identify the current state of the art and remaining challenges
5. Map citation relationships between key papers

Output format:
## Overview
[2-3 paragraph summary of the field]

## Key Papers (by category)
| Paper | Year | Approach | Key Result |
|-------|------|----------|------------|

## Research Gaps
- [identified gaps and opportunities]

## Recommended Reading Order
1. [foundational papers first, then recent advances]

Рекомендуемые модели

Совместимые инструменты

claude-codecursorkiroany

Модальности

Вход: text, file
Выход: text, code

Похожие Skills

Автор

OpenModels Community

@openmodelsrun
Literature Review — AI Agent Skill | OpenModels