gpd-limiting-cases

Enumerate and classify limiting cases for physics results into LIMITING-CASES.md reports.

1|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/CharlieGreenman/roomtemp-superconductor-gpd --skill gpd-limiting-cases
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gpd-limiting-cases
Source: https://github.com/CharlieGreenman/roomtemp-superconductor-gpd/tree/main/.agents/skills/gpd-limiting-cases
Command: npx skills add https://github.com/CharlieGreenman/roomtemp-superconductor-gpd --skill gpd-limiting-cases

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematically identify and verify all relevant limiting cases for a physics result or phase, and generate a formal LIMITING-CASES.md report.

Core Features & Use Cases

  • Enumerates universal, thermodynamic, quantum, condensed-matter and geometric limits for a result.
  • Compares against known limiting expressions to classify outcomes (exact match, numerical match, correct order, discrepancy, divergent, cannot check).
  • Generates LIMITING-CASES.md and provides a guided workflow for troubleshooting and documentation.

Quick Start

Provide the target result and the limiting parameters, then run the limiting-cases workflow to generate a LIMITING-CASES.md report.

Frequently Asked Questions about gpd-limiting-cases

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

FAQPage Schema
How do I verify limiting cases for a theoretical physics derivation?

Verify limiting cases by enumerating universal, thermodynamic, quantum, condensed-matter, and geometric limits for your physics result, comparing against known expressions, and classifying outcomes as exact match, numerical match, correct order, discrepancy, divergent, or cannot check.

What is a limiting case analysis in theoretical physics?

Limiting case analysis in theoretical physics is the process of checking a result or phase by evaluating it under extreme parameters, such as thermodynamic or quantum limits, ensuring the outcome matches expected known expressions and behaves correctly.

Do I need external data or datasets to check asymptotic limits?

No external data or datasets are needed to check asymptotic limits. The verification relies entirely on enumerating limits, comparing results against known theoretical expressions, and classifying the outcomes without external dependencies.

How do I systematically document physics limit verification results?

Systematically document physics limit verification results by generating a formal LIMITING-CASES.md report. Provide the target result and limiting parameters, run the workflow, and it outputs a structured report classifying each limit's outcome.

What categories of limits should I check for a physics result or phase?

You should check universal, thermodynamic, quantum, condensed-matter, and geometric limits for a physics result or phase. Enumerate these categories systematically to ensure correct limiting behavior across all relevant physical regimes.

How do I classify discrepancies when checking asymptotic behavior?

Classify discrepancies when checking asymptotic behavior by comparing your derived result against known limiting expressions. Outcomes fall into categories: exact match, numerical match, correct order, discrepancy, divergent, or cannot check, enabling targeted troubleshooting.