gpd-dimensional-analysis

Audit mathematical equations for dimensional consistency and anomalies.

Updated May 1, 2026
One-click install
npx skills add https://github.com/Unified-Field-Theory-Research/finite-capacity-causal-geometry --skill gpd-dimensional-analysis-unified-field-theory-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gpd-dimensional-analysis
Source: https://github.com/Unified-Field-Theory-Research/finite-capacity-causal-geometry/tree/main/.agents/skills/gpd-dimensional-analysis
Command: npx skills add https://github.com/Unified-Field-Theory-Research/finite-capacity-causal-geometry --skill gpd-dimensional-analysis-unified-field-theory-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a systematic way to analyze and validate the dimensions of equations, identifying and flagging dimensional anomalies that can indicate errors in complex calculations.

Core Features & Use Cases

  • Systematic Audit: Checks all equations in a derivation, computation, or phase for dimensional consistency.
  • Rigorous Checks: Ensures each term, function, integral, and derivative in equations maintains consistent dimensions.
  • Natural Units and SI Compatibility: Accommodates both natural units and the International System of Units (SI).
  • Report Generation: Outputs a detailed report with all checked equations, any anomalies found, and the results of the analysis.

Quick Start

Execute the command: $gpd-dimensional-analysis 3 to perform a dimensional analysis audit on phase 3.

Frequently Asked Questions about gpd-dimensional-analysis

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

FAQPage Schema
How do I check dimensional consistency in complex physical equations?

Dimensional consistency in complex physical equations is checked by conducting a systematic audit that verifies each term, function, integral, and derivative maintains matching dimensions. This process detects and flags dimensional anomalies that indicate calculation errors.

What is the best way to automate dimensional analysis for mathematical derivations?

Automating dimensional analysis for mathematical derivations involves executing a systematic audit command on a specific computation phase. This generates a detailed report listing all checked equations, identifying any dimensional anomalies found, and presenting the analysis results.

Can I use dimensional analysis auditing with natural units and SI?

Dimensional analysis auditing accommodates both natural units and the International System of Units (SI). This compatibility ensures rigorous dimensional checks can be applied across diverse mathematical and physical modeling contexts without requiring manual unit conversions.

Does dimensional analysis detect errors in integrals and derivatives?

Dimensional analysis detects errors in integrals and derivatives by applying rigorous checks to every mathematical element within an equation. It systematically verifies that these specific functions maintain consistent dimensions alongside all other terms in the derivation.

Why do I need a dimensional consistency audit for physical modeling?

A dimensional consistency audit for physical modeling is needed to identify and flag dimensional anomalies that indicate errors in complex calculations. It ensures mathematical derivations remain physically valid by verifying that all terms within equations maintain consistent dimensions.

What are the limitations of automated dimensional analysis in scientific validation?

Automated dimensional analysis in scientific validation is limited to checking dimension consistency and flagging anomalies in equations. It verifies mathematical term alignment but does not validate the underlying physical assumptions or correctness of the theoretical model itself.