paper-analyzer
OfficialTurn papers into polished, publish-ready articles.
Authorproyecto26
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill transforms academic papers into structured, publication-ready articles by extracting text, figures, tables, and LaTeX formulas, and reformatting them into Markdown and HTML with selectable writing styles.
Core Features & Use Cases
- MinerU Cloud API for high-precision PDF parsing (text, images, tables, formulas)
- Multiple writing styles: storytelling, academic, concise
- Optional formula explanations and GitHub code analysis
- Output Markdown + HTML with base64-embedded images
Quick Start
Run the conversion using the MinerU-enabled workflow: python scripts/convert_pdf.py <path-to-pdf> <output-dir> To use MinerU Cloud API, set MINERU_TOKEN in your environment: export MINERU_TOKEN=your_token
Dependency Matrix
Required Modules
requestsPyMuPDF
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: paper-analyzer Download link: https://github.com/proyecto26/sherlock-ai-plugin/archive/main.zip#paper-analyzer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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