math-extractor

Extract mathematical logic from code and generate LaTeX equations with source references.

Updated Nov 25, 2025

Search Tags:#documentation #algorithms #code-analysis #math #latex #formalization

Ready to run

npx skills add https://github.com/NikhilVijayakumar/Yantra --skill math-extractor-nikhilvijayakumar

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: math-extractor
Source: https://github.com/NikhilVijayakumar/Yantra/tree/main/.agent/skills/math-extractor
Command: npx skills add https://github.com/NikhilVijayakumar/Yantra --skill math-extractor-nikhilvijayakumar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates the discovery and formal representation of mathematical logic embedded in source code, exporting precise LaTeX equations to docs/paper/mathematics/math_logic.md.

Core Features & Use Cases

Identify mathematical calculations, algorithms, and logical patterns in code and generate corresponding LaTeX representations.
Maintain accurate symbol mappings and references for reproducibility, and produce a structured math_logic.md with source references.
Use in research documentation, educational materials, and automatic reporting of mathematical content found in codebases.

Quick Start

Run the skill on your codebase to extract mathematical logic and generate docs/paper/mathematics/math_logic.md.

Frequently Asked Questions about math-extractor

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

FAQPage Schema

How do I extract mathematical logic from source code into LaTeX equations?▼

To extract mathematical logic from source code into LaTeX equations, apply a code analysis skill to your codebase to identify computational routines and generate formal LaTeX representations. The process outputs a Markdown file containing the extracted equations.

What is the best way to document algorithms found in a codebase for a research paper?▼

The best way to document algorithms for a research paper is to formalize the code's mathematical calculations into LaTeX. This generates a structured math_logic.md file with source references, variable-to-symbol mappings, and reproducible algorithm documentation.

Can I generate LaTeX documentation directly from computational routines in my code?▼

Yes, you can generate LaTeX documentation directly from computational routines by analyzing the codebase for mathematical patterns. The extraction process identifies calculations and translates them into formal LaTeX equations with clear variable mappings.

Does the extracted LaTeX output include references to the original source code?▼

Yes, the extracted LaTeX output includes references to the original source code. The generated Markdown file contains file paths and line numbers for the identified mathematical logic, ensuring reproducibility and traceability back to the codebase.

How do I map code variables to formal mathematical symbols for reproducibility?▼

To map code variables to formal mathematical symbols for reproducibility, the extraction process generates a clear variable-to-symbol mapping. This mapping is included in the output Markdown file alongside the LaTeX equations and source code references.

What types of codebases are suitable for extracting mathematical logic into LaTeX?▼

Codebases containing computational routines, proofs, or algorithm implementations are suitable for extracting mathematical logic into LaTeX. The extraction identifies mathematical calculations and logical patterns to produce formal representations for documentation.