math-explain

Explain mathematical formulas step-by-step with LaTeX and symbol definitions.

7|1|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/gyy0592/claude-config --skill math-explain
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: math-explain
Source: https://github.com/gyy0592/claude-config/tree/main/skills/math-explain
Command: npx skills add https://github.com/gyy0592/claude-config --skill math-explain

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Most formula explanations skip steps. The reader is forced to guess why the specialized equation was written down, what the symbols mean, which term drives the behavior, and when the formula breaks. This skill removes that guessing. Every formula that passes through this skill is introduced from its canonical parent, defined completely inline, dissected term by term, bounded by explicit assumptions, and — if it is an approximation — restored to its exact form so the reader sees what was dropped.

Core Features & Use Cases

  • Inline and display math in LaTeX: render all variables and equations with explicit symbol definitions and accompanying explanations.
  • Canonical-form-first derivations: show how a canonical starting point leads to the paper's equation through transparent, step-by-step substitutions.
  • Self-contained symbol blocks: after each equation, provide a where ... is ... block redefining every symbol used.
  • Explicit assumptions and applicability: enumerate assumptions, domain restrictions, and when the formula holds.
  • Self-check and cross-reference: guide readers to cite the original paper location and ensure traceability.

Quick Start

Explain the given formula with a canonical starting point, define all symbols, walk through each term, state assumptions, and cite the original paper location.

Frequently Asked Questions about math-explain

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

FAQPage Schema
How do I get step-by-step math derivations with explicit symbol definitions?

Step-by-step math derivations with explicit symbol definitions are generated by introducing each formula from its canonical parent, providing a where-block for every symbol, and walking through term-by-term substitutions.

What is the best way to explain complex machine learning equations in LaTeX?

Explaining complex machine learning equations in LaTeX requires rendering inline and display math accurately, explicitly bounding applicability with assumptions, and dissecting each term to show what drives the behavior.

Can I use this for physics formulas and research paper derivations?

Physics formulas and research paper derivations are fully supported. The process applies a six-item formula checklist to ensure precise derivations, explicit assumptions, and cited paper locations for educational contexts.

How to show what terms were dropped from an approximated mathematical expression?

To show what terms were dropped from an approximated mathematical expression, the method restores the approximation to its exact canonical form so the reader sees exactly what was omitted during the derivation.

Why do formula explanations skip steps and how to fix missing derivation logic?

Formula explanations skip steps when specialized equations lack transparent substitutions. To fix missing derivation logic, apply a self-check checklist ensuring canonical-form-first derivations and self-contained symbol blocks after each equation.

Does this approach work for single equations or full mathematical concepts?

This approach works for both single equations and full mathematical concepts. It satisfies a rigorous six-item formula checklist, ensuring LaTeX-accurate rendering and explicit domain restrictions regardless of scope.