analyze-equations

Extract LaTeX equations from research papers and map components to code.

18|5|Updated Nov 3, 2025
One-click install
npx skills add https://github.com/mvillmow/ProjectOdyssey --skill analyze-equations
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyze-equations
Source: https://github.com/mvillmow/ProjectOdyssey/tree/main/.claude/skills/tier-2/analyze-equations
Command: npx skills add https://github.com/mvillmow/ProjectOdyssey --skill analyze-equations

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pdftotext, grep.

What problem does it solve?

Converting complex mathematical equations from research papers into implementable code requires careful parsing, interpretation, and mapping to computational operations.

Core Features & Use Cases

  • Equation Extraction: Identifies and extracts LaTeX/mathematical notation from source documents (e.g., PDFs).
  • Component Breakdown: Breaks down complex equations into primitive operations, identifies variables, and determines data types.
  • Use Case: When implementing an algorithm from a research paper, use this skill to extract all relevant mathematical equations, parse their components, and map them directly to Mojo or Python code operations.

Quick Start

Use the analyze-equations skill to extract LaTeX equations from 'paper.pdf' and display the first 20 matches.

Frequently Asked Questions about analyze-equations

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

FAQPage Schema
How do I extract equations from PDF research papers?

Extract equations from PDFs by parsing LaTeX notation and mathematical symbols using pdftotext and grep to identify equation patterns. The skill identifies and isolates mathematical expressions, breaking them into components like variables, operators, and data types for direct mapping to code.

How do I convert mathematical equations to code?

Convert equations to code by parsing LaTeX components, identifying variables and their data types, then mapping primitive operations to implementation logic. The skill extracts equations from research papers and produces structured breakdowns that translate directly to Mojo or Python operations.

What's the best way to implement algorithms from research papers?

Implement algorithms by extracting all relevant mathematical equations from papers, parsing their components, and mapping formulas to computational operations. This approach ensures performance-critical computations are correctly identified and optimized, with source references preserved throughout.

Can I use this to identify optimization opportunities in equations?

Yes. By breaking down complex equations into primitive operations and determining data types, you can identify SIMD optimization strategies and performance-critical computations within algorithmic implementations.

What file formats does equation extraction support?

Equation extraction works with PDF research papers containing LaTeX or standard mathematical notation. The skill uses pdftotext to parse PDFs and grep to locate equation patterns within extracted text.