gpd-debug

Orchestrate parallel investigation agents to diagnose physics calculation discrepancies.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides systematic debugging of physics calculations, maintaining a persistent state across context resets.

Core Features & Use Cases

  • Persistent State: Maintains state across context resets for continuous debugging.
  • Debugging Workflow: Orchestrates parallel investigation agents to diagnose research problems and find root causes.
  • Use Case: When encountering discrepancies in research calculations, this Skill can be used to systematically investigate and identify the root cause of the discrepancy.

Quick Start

To debug a physics calculation, use the gpd-debug skill with the --batch flag followed by the calculation file.

Frequently Asked Questions about gpd-debug

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

FAQPage Schema
How do I systematically debug physics calculation discrepancies and numerical instabilities?

Systematic debugging of physics calculations uses parallel investigation agents to diagnose research problems, handling numerical instabilities, sign errors, and theoretical inconsistencies to find root causes.

Why does my physics calculation result become unphysical after a context reset?

Systematic debugging maintains a persistent state across context resets, allowing continuous investigation of calculation discrepancies and unphysical results without losing previous diagnostic context.

How do I find the root cause of convergence failures in my physics research?

Orchestrating parallel investigation agents systematically diagnoses convergence failures in physics research, analyzing theoretical inconsistencies and wrong approximations to isolate the exact root cause.

What is the best way to investigate theoretical inconsistencies in physics calculations?

Systematic debugging orchestrates parallel investigation agents to evaluate theoretical inconsistencies in physics calculations, successfully identifying missing physics, sign errors, and wrong approximations.

Can I debug physics research problems in batch mode?

You can debug physics research problems in batch mode by executing the debugging skill with the batch flag and specifying your calculation file to systematically investigate discrepancies.