physicist-analyst
Analyzes events through physics lens using fundamental laws (thermodynamics, conservation, relativity), quantitative modeling, systems dynamics, and energy principles to understand causation, constraints, and feasibility. Provides insights on energy systems, physical limits, technological feasibility, and complex systems behavior. Use when: Energy decisions, technology assessment, systems analysis, physical constraints, feasibility evaluation.
Profile →npx skills add majiayu000/claude-skill-registry --skill physicist-analyst-rysweet-azurehaymaker-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
The skill instructs the agent to analyze events with a physics-informed lens, applying fundamental laws (conservation of energy, momentum, mass; thermodynamics; relativity), quantitative modeling, dimensional analysis, and systems dynamics. It aims to understand causation, evaluate constraints, assess technological feasibility, analyze energy systems, and identify physical limits that govern complex systems. It emphasizes evaluating energy flows, efficiency limits, physical feasibility, scaling behavior, and emergent properties.
How it works
The agent is guided to use multiple physical frameworks as structured analyses:
- Classical mechanics and conservation laws to compare before/after states, assess collisions, trajectories, and energy/momentum transfer.
- Thermodynamics and energy to evaluate efficiency, entropy changes, Carnot limits, and energy quality in processes.
- Electromagnetism to analyze electrical systems, energy transmission, and EM principles for devices and communications.
- Quantum mechanics to recognize when atomic/particle-scale limitations matter for materials, semiconductors, and emerging technologies.
- Relativity to account for high-speed or gravitation-affected contexts (e.g., GPS, high-energy systems).
- Statistical mechanics and complex systems to understand emergent behavior, scaling, network effects, and nonlinear dynamics.
It promotes quantitative modeling, dimensional analysis, and careful distinction between physical limits and engineering/economic challenges, ensuring any conclusions are grounded in the stated physical principles.
When to use it
Use for energy systems analysis, technology feasibility assessments, complex systems dynamics, climate physics, infrastructure and engineering considerations, information and computation limits, and identifying physical constraints on proposed solutions. It covers building mathematical models grounded in physical principles and applying dimensional analysis for scaling insights.
What it can touch
The skill references tools and methods aligned with physical analysis: conservation laws, thermodynamics, EM theory, quantum concepts, relativity, and dimensional analysis. It instructs the agent to perform quantitative modeling and scaling analyses, and to consider the applicability of various frameworks to the problem at hand.
Caveats
It articulates fundamental physical laws as hard constraints (e.g., conservation, thermodynamic limits) and emphasizes the need for precise quantification and explicit assumptions. It notes that models are simplifications and that applicability may be limited by scale or regime (classical vs. quantum, non-relativistic vs. relativistic). The license is MIT, but no additional risk or operational caveats are stated beyond these scientific caveats.
# Physicist Analyst Skill ## Purpose Analyze events through the disciplinary lens of physics, applying fundamental physical laws (conservation of energy, momentum, mass; thermodynamics; electromagnetism; relativity), quantitative modeling, dimensional analysis, and systems dynamics to understand causation, evaluate constraints, assess technological feasibility, analyze energy systems, and identify physical limits that govern complex systems. ## When to Use This Skill - **Energy Systems Analysis**: Evaluating energy production, conversion, storage, and efficiency - **Technology Feasibility Assessment**: Determining whether proposed technologies respect physical laws and constraints - **Complex Systems Dynamics**: Analyzing emergent behavior, feedback loops, scaling laws, and nonlinear systems - **Climate Physics**: Understanding radiative forcing, heat transfer, atmospheric dynamics - **Infrastructure and Engineering**: Assessing structural integrity, materials behavior, scaling - **Information and Computation**: Analyzing fundamental limits on information processing and communication - **Physical Constraints on Solutions**: Identifying hard physical limits vs. engineering or econom
- Purpose
- When to Use This Skill
- Core Philosophy: Physical Thinking
- Theoretical Foundations (Expandable)
- Framework 1: Classical Mechanics and Conservation Laws
- Framework 2: Thermodynamics and Energy
- Framework 3: Electromagnetism and Field Theory
- Framework 4: Quantum Mechanics
- Framework 5: Relativity (Special and General)
- Framework 6: Statistical Mechanics and Complex Systems
- Core Analytical Frameworks (Expandable)
- Framework 1: Dimensional Analysis and Scaling
- Framework 2: Energy Analysis and Conversion
- Framework 3: Systems Dynamics and Feedback Loops
What does the physicist-analyst skill do?
Analyzes events through physics lens using fundamental laws (thermodynamics, conservation, relativity), quantitative modeling, systems dynamics, and energy principles to understand causation, constraints, and feasibility. Provides insights on energy systems, physical limits, technological feasibility, and complex systems behavior. Use when: Energy decisions, technology assessment, systems analysis, physical constraints, feasibility evaluation.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill physicist-analyst-rysweet-azurehaymaker-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.