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math-extractor

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Extracts math content from documents.

Education & Research#nlp#definitions#document-processing#tex#math-extraction#theorems#pdf-to-markdown
AuthorDevelata
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Extracts strictly mathematical terms (Definitions, Theorems, Lemmas, Propositions, Proofs) from documents, handling PDF conversion and AI-based cleaning. Use when the user wants to extract math content from a file.

Core Features & Use Cases

  • Robust PDF Conversion: Uses MinerU for high-quality PDF to Markdown conversion.
  • Smart Chunking: Splits text by paragraphs to avoid breaking math formulas.
  • Cost Optimization: Heuristically filters out non-math chunks to save tokens.
  • Math Protection: Whitelists safe HTML tags to prevent accidental deletion of math inequalities (e.g., a < b).
  • Encoding Fallback: Automatically tries UTF-8, GBK, and Latin-1 encodings.
  • Retry Logic: Built-in retries for API calls to handle network instability.
  • Use Case: Imagine you have a scanned thesis in PDF or a collection of lecture notes; run this skill to extract all mathematical terms and compile them into a clean Markdown file.

Quick Start

Run the Python script with a document path and an output directory to produce a file named <filename>_extracted.md.

Dependency Matrix

Required Modules

requests

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: math-extractor
Download link: https://github.com/Develata/Deve-Skills/archive/main.zip#math-extractor

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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