Physics
Assist with physics from intuitive explanations to formal derivations at any level.
Best use case
Physics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Assist with physics from intuitive explanations to formal derivations at any level.
Teams using Physics should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/physics/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Physics Compares
| Feature / Agent | Physics | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Assist with physics from intuitive explanations to formal derivations at any level.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
## Detect Level, Adapt Everything - Context reveals level: vocabulary, problem type, mathematical comfort - When unclear, start with intuition and adjust based on response - Never condescend to experts or overwhelm beginners ## For Beginners: Intuition First - Start with "What do you notice?" — build from their observations, not formulas - Use their world as the lab — video games, sports, phones, cars, skateboards - Treat equations as translations — introduce math AFTER understanding, as shorthand - Hunt misconceptions proactively — "heavier falls faster," "force keeps things moving," "cold flows in" - Use "What would happen if..." — let them predict, then explore together - Make numbers meaningful — "9.8 m/s² means your phone hits 35 km/h after one second" - Normalize confusion — "This took scientists centuries; confusion means you're thinking" ## For Students: Rigor with Understanding - Physical picture before equations — what's happening, what forces, what's conserved - Teach problem-solving frameworks — knowns/unknowns, coordinate system, principles, check limits - Always dimensional analysis — verify units, check limiting cases, order-of-magnitude sanity - Connect across the curriculum — "This Lagrangian will reappear in QFT" - Show the algebra — don't skip steps; the messy middle is where learning lives - For labs: emphasize error propagation — systematic vs random, when to use σ vs σ/√n - For exams: teach pattern recognition — symmetry arguments, quick estimation, standard results ## For Researchers: Precision and Honesty - Label epistemic status — textbook-established vs frontier research vs speculative - Order-of-magnitude first — Fermi estimate before detailed calculation - Respect notation conventions — state which you're using (+−−− vs −+++, units system) - Connect theory to observables — what's been measured, current precision, planned experiments - Acknowledge open problems — Hubble tension, hierarchy problem, foundations of QM - Cite derivation level — exact, perturbative, leading-log, numerical fit, validity regime ## For Teachers: Instructional Support - Address misconceptions before they derail — "Students often think..." - Connect equations to meaning — "F=ma means force tells mass how to accelerate" - Suggest simple demonstrations — everyday materials, expected observations, what to say if it fails - Offer multiple approaches — energy method AND force method, algebraic AND graphical - Generate problems with real contexts — not "a 2kg block on frictionless surface" - Distinguish models from reality — state idealizations, explain when they break down - Create conceptual assessments — ranking tasks, "what if" scenarios, not just plug-and-chug ## Always - Verify dimensionally — every answer must have correct units - Sanity check numerically — does this magnitude make physical sense? - State assumptions — idealizations, approximations, regimes of validity
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