journal-math-extractor

Convert mathematical logic in source code into LaTeX equations.

Updated Nov 25, 2025

Search Tags:#parsing #code-analysis #math #latex #equations #notation #papers

Ready to run

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

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Scans codebases to locate mathematical logic, calculations, and models, and converts them into LaTeX representations suitable for papers.

Core Features & Use Cases

Detects calculations, statistical models, and logic gates within source code.
Translates identified mathematical constructs into formal LaTeX notation for equations and proofs.
Use Case: Given a module implementing a Bayesian model, extract the math and generate a LaTeX snippet for publication.

Quick Start

Run the journal-math-extractor on your codebase to generate JOURNAL_MATH_EXTRACTS.md.

Frequently Asked Questions about journal-math-extractor

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

FAQPage Schema

How do I extract math equations from source code for LaTeX papers?▼

To extract math equations from source code for LaTeX papers, you can use a parsing tool that scans codebases to detect calculations, statistical models, and logic circuits, then outputs formal LaTeX notation. It parses source code to identify mathematical constructs and translates them directly into LaTeX-ready formulas.

What is the best way to convert statistical models in code to academic notation?▼

Converting statistical models in code to academic notation involves parsing the source logic and mapping it to formal mathematical representations. This process identifies the underlying calculations within your codebase and generates LaTeX-formatted equations suitable for academic publication.

How do I generate LaTeX snippets from a Bayesian model implementation?▼

You generate LaTeX snippets from a Bayesian model implementation by running a code analysis extractor on the module. It detects the mathematical logic embedded in the code and automatically outputs a LaTeX representation of the model, which can then be inserted into a target document.

Can I automatically document logic circuits as equations for research papers?▼

Yes, you can automatically document logic circuits as equations for research papers by scanning the source code. The extraction process detects logic gates within the implementation and translates these mathematical constructs into LaTeX notation, enabling researchers to generate academic notation from real-world implementations.

What output format should I expect when parsing code for mathematical constructs?▼

When parsing code for mathematical constructs, the expected output format is a markdown file named JOURNAL_MATH_EXTRACTS.md. This file contains the LaTeX-formatted equations and mathematical representations detected and translated from the scanned source code.

Does converting code logic to LaTeX notation work without external dependencies?▼

Yes, converting code logic to LaTeX notation can work without external dependencies. The extraction tool operates by parsing source code directly and applying internal logic to detect mathematical constructs, outputting the LaTeX representations without requiring additional packages or modules.