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Skill

Physics

by openclaw

AI Summary

A physics tutoring booster that adapts explanations from intuitive reasoning to formal derivations based on learner level. Ideal for students, educators, and researchers seeking physics help across all difficulty tiers.

Install

Copy this and paste it into Claude Code, Cursor, or any AI assistant:

I want to install the "Physics" skill in my project.

Please run this command in my terminal:
# Install skill into the correct directory (2 files)
mkdir -p .claude/skills/physics && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/physics/SKILL.md "https://raw.githubusercontent.com/openclaw/skills/main/skills/ivangdavila/physics/SKILL.md" && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/physics/_meta.json "https://raw.githubusercontent.com/openclaw/skills/main/skills/ivangdavila/physics/_meta.json"

Then restart Claude Code (or reload the window in Cursor) so the skill is picked up.

Description

Assist with physics from intuitive explanations to formal derivations at any level.

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

Discussion

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Health Signals

MaintenanceCommitted 1mo ago
Active
Adoption1K+ stars on GitHub
1.8k ★ · Popular
DocsREADME + description
Well-documented

GitHub Signals

Stars1.8k
Forks579
Issues0
Updated1mo ago
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MIT License

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Works With

Claude Code