physics

Diagnose quantum phases and mechanisms across computational models with evidence rubrics.

60|92|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/QuantumBFS/quantum.harness --skill physics-quantumbfs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: physics
Source: https://github.com/QuantumBFS/quantum.harness/tree/main/skills/physics
Command: npx skills add https://github.com/QuantumBFS/quantum.harness --skill physics-quantumbfs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill resolves ambiguity in quantum research by providing a standardized, expert-curated diagnostic framework for identifying phases, mechanisms, and cross-model phenomena.

Core Features & Use Cases

  • Standardized Diagnostics: Applies rigorous evidence rubrics to verify complex states like spin liquids, Mott transitions, or Kondo effects.
  • Cross-Model Synthesis: Enforces the consultation of multiple model hooks to ensure evidence is robust and not biased toward a single computational method.
  • Use Case: When a user asks if a specific simulation result indicates a spin-liquid phase, this skill guides the agent to check the full evidence rubric—including structure factors, spin gaps, and finite-size scaling—before providing a verdict.

Quick Start

Use the physics skill to diagnose whether the current simulation results indicate a spin liquid phase.

Frequently Asked Questions about physics

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

FAQPage Schema
How do I verify if my simulation results indicate a spin liquid phase?

To verify a spin liquid phase, you must check a comprehensive evidence rubric including structure factors, spin gaps, and finite-size scaling. A standardized diagnostic framework enforces cross-model validation to ensure robust evidence before providing a scientific verdict.

What is the best way to diagnose complex quantum phases like Mott transitions?

Diagnosing Mott transitions requires applying rigorous evidence rubrics within a structured diagnostic framework. This enforces consultation of multiple model hooks to ensure evidence is robust and not biased toward a single computational method.

How does cross-model validation work for many-body quantum systems?

Cross-model validation works by enforcing the consultation of multiple model hooks across computational models. This ensures your quantum many-body research verification remains robust, preventing diagnostic bias toward any single computational method.

Can I use this diagnostic framework to analyze Kondo effects in my research?

Yes, you can use this diagnostic framework to analyze Kondo effects. It applies standardized diagnostics and predefined topic-specific knowledge cards to verify complex quantum mechanisms and resolve ambiguity in your research.

Do I need specific simulation data formats to run quantum diagnostics?

You need simulation results that can be evaluated against predefined evidence rubrics, such as structure factors and spin gaps. The framework integrates model-hooks to enforce scientific rigor, requiring adherence to topic-specific knowledge cards.

Why does my quantum research verification return ambiguous results?

Ambiguity often arises from relying on a single computational method. A standardized diagnostic framework resolves this by enforcing comprehensive evidence rubrics and cross-model synthesis to verify complex quantum states robustly.