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tensor-physics-research

Organize bridge equations, tensor formalism, and proof development in the Universal Tensor Physics Framework.

Updated Aug 23, 2026
Search Tags:#tensor#UPTF#bridge equations#proof development#tensor calculus#Noether
One-click install
npx skills add https://github.com/danielsimonjr/claude-skills --skill tensor-physics-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tensor-physics-research
Source: https://github.com/danielsimonjr/claude-skills/tree/main/universal-tensor-physics-skill
Command: npx skills add https://github.com/danielsimonjr/claude-skills --skill tensor-physics-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured, tool-assisted approach for performing theoretical physics research within the Universal Tensor Physics Framework (UPTF), organizing bridge equations, tensor formalism, and proof development to support rigorous derivations.

Core Features & Use Cases

  • Bridge Equation Development: Guides formal mappings between physical observables and tensor structures.
  • Tensor Formalism & Notation Standards: Establishes consistent index conventions and operator definitions (covariant derivatives, Lie derivatives, etc.).
  • Proof Development & MCP Integration: Uses deepthinking-mcp and math-mcp to craft, check, and document step-by-step proofs, with verification and physical interpretation.
  • Documentation & Collaboration: Templates for problem formulation, derivations, risk tracking, and results dissemination in a reproducible format.

Quick Start

To begin, describe your physics problem in tensor notation and request a bridge equation template; the skill will outline a 6-step bridge process, include a formal structure, and suggest MCP-assisted steps.

Frequently Asked Questions about tensor-physics-research

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

FAQPage Schema
How do I structure theoretical physics research using tensor formalism?▼

To structure theoretical physics research with tensor formalism, this skill organizes bridge equations and proof development within the Universal Tensor Physics Framework. It provides templates for problem formulation and establishes consistent index conventions for covariant and Lie derivatives.

What is a bridge equation in tensor calculus and how is it developed?▼

A bridge equation in tensor calculus provides a formal mapping between physical observables and mathematical tensor structures. This skill guides development through a structured six-step process, ensuring rigorous derivation and physical interpretation.

How do I verify physics proof derivations step by step?▼

To verify physics proof derivations step by step, this skill integrates deepthinking-mcp and math-mcp. These tools check, document, and validate the mathematical progression of tensor formalism alongside its physical interpretation.

Can I use this skill for Noether theorem derivations within the UPTF?▼

Yes, you can use this skill for Noether theorem derivations within the Universal Tensor Physics Framework. It automates structured theoretical physics research by organizing tensor notation and proof development for rigorous derivations.

Does this skill require external dependencies for tensor math research?▼

This skill requires no external dependencies for tensor math research, but it optionally integrates deepthinking-mcp and math-mcp. These MCP components assist in crafting, checking, and documenting step-by-step physics proofs.

What is the best way to document reproducible theoretical physics derivations?▼

The best way to document reproducible theoretical physics derivations is by using structured templates for problem formulation and risk tracking. This skill provides reproducible formats for disseminating tensor calculus results and bridge equation mappings.

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