什么是 物理？

物理技能是为 Openclaw Skills 设计的专业模块，旨在为用户科学探索的每个阶段提供帮助。它作为一个多功能的导师和研究伙伴，能够将复杂的物理现象转化为易于理解的思维模型或高水平的数学证明。通过上下文和词汇检测用户的专业水平，该技能确保解释对于专家来说不会过于简单，对于初学者来说也不会过于深奥。

该技能的核心优先考虑物理直觉和量纲一致性。它弥合了观察与方程之间的鸿沟，使其成为 Openclaw Skills 用户解决力学、热力学、量子物理等领域问题的必备工具。无论您是在调试模拟、备考还是进行前沿研究，该技能都能提供科学准确性所需的严谨性和清晰度。

下载入口:https://github.com/openclaw/skills/tree/main/skills/ivangdavila/physics

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

2. 手动安装

将技能文件夹复制到以下位置之一

优先级：工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

物理 应用场景

• 使用日常类比为初学者解释相对论或熵等复杂概念。
• 通过分步代数推导和单位验证解决结构化学术问题。
• 进行费米估算和数量级计算，以进行快速研究验证。
• 为教育工作者设计课堂演示和概念评估。
• 验证技术模型或代码的量纲合理性和物理极限。

1. 该技能分析输入上下文，以确定所需的数学和概念严谨程度。
2. 对于新概念，在引入正式符号之前，它会建立物理图像和直观理解。
3. 它应用系统的解决问题框架，识别已知变量、坐标系和守恒定律。
4. 它进行严谨的量纲分析，以确保所有方程和结果在物理上是一致的。
5. 该技能最后会说明所有假设、理想化情况以及所提供答案的具体适用范围。

物理 配置指南

要在您的 Openclaw Skills 环境中部署物理技能，请确保您的系统符合操作系统要求（Linux、macOS 或 Windows），并按照以下安装步骤操作：

# 通过 clawdbot CLI 安装物理技能
clawdbot add physics

# 初始化技能以开始协助推导
clawdbot enable physics

物理 数据架构与分类体系

物理技能根据用户个人资料和请求的复杂程度组织其输出和内部逻辑：

name: Physics
description: Assist with physics from intuitive explanations to formal derivations at any level.
metadata: {"clawdbot":{"emoji":"??","os":["linux","darwin","win32"]}}

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