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get-review-theme

Extract structured review topics from files, images, URLs, and descriptions.

Updated Jun 29, 2026
Search Tags:#literature review#academic research#information extraction#topic extraction#review topic
One-click install
npx skills add https://github.com/wangyouan/codex-personal-kit --skill get-review-theme-wangyouan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: get-review-theme
Source: https://github.com/wangyouan/codex-personal-kit/tree/main/skills/get-review-theme
Command: npx skills add https://github.com/wangyouan/codex-personal-kit --skill get-review-theme-wangyouan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires LLM, mcp__web_reader__webReader, Read, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of extracting structured review topics from various sources like files, images, URLs, and descriptions, significantly reducing the manual effort required for academic literature review.

Core Features & Use Cases

  • Multi-Source Input Support: Handles files (PDF, Word, Markdown, etc.), folders, images, natural language descriptions, and web URLs.
  • Automated Content Extraction: Identifies input type and extracts relevant content for analysis.
  • Structured Output: Generates a structured review topic with topic, keywords, and core questions for further literature review.
  • Use Case: When conducting a literature review, this Skill can automatically extract topics and keywords from research papers, enabling a more efficient review process.

Quick Start

Use the get-review-theme skill to extract a review topic from the provided document '/path/to/document.pdf'.

Frequently Asked Questions about get-review-theme

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract review topics from a PDF for a literature review?▼

Yes, you can extract structured review topics from web URLs. The Skill uses web reading capabilities to fetch and analyze the content, identifying the topic, keywords, and core questions for your literature review.

What file formats are supported for academic topic extraction?▼

The academic topic extraction supports multiple file formats including PDF, Word, and Markdown, as well as folders, images, natural language descriptions, and web URLs for comprehensive literature review preparation.

Does this literature review tool work with image inputs?▼

Yes, the literature review tool works with image inputs. It identifies the input type and applies information extraction techniques to pull relevant content for generating structured review topics.

How do I get structured keywords and core questions from research papers?▼

You get structured keywords and core questions from research papers by providing the files as input. The Skill processes the text and outputs a structured review topic containing these specific elements for further analysis.

Can I use natural language descriptions to generate a literature review topic?▼

Yes, you can use natural language descriptions to generate a literature review topic. The Skill applies natural language understanding to extract the subject matter and output a structured review topic with keywords and questions.

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