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Install in OpenClaw
/install physics-animation-workflow
Description
将物理问题的运动过程制作成交互式 HTML Canvas 动画。当用户提供物理题目并希望制作动画来展示物理过程时，应使用本技能。特别适合力学、电磁学等需要展示物体运动轨迹的场景。⚠️ 不适合：只需静态示意图的问题（用 bitmap-vectorize）、纯文字物理推导题。
Usage Guidance
This is a documentation-style workflow rather than executable code: it will prompt for the problem diagram and produce HTML Canvas code and optional calculations. Before publishing or sharing the generated HTML, inspect it (and any embedded data) to ensure no sensitive content was included. If you will upload private images as input, confirm you are comfortable sharing them. Also validate any physics calculations the agent produces if you require precise, high-stakes results.
Capability Analysis
Type: OpenClaw Skill
Name: physics-animation-workflow
Version: 1.0.0
The skill bundle defines a structured 10-step workflow for an AI agent to transform physics problems into interactive HTML Canvas animations. The instructions in SKILL.md are well-documented, focusing on vectorization, physical modeling, and coordinate system conversions without any evidence of malicious intent, data exfiltration, or prompt injection.
Capability Assessment
Purpose & Capability
The name/description match the SKILL.md: a stepwise workflow to create HTML Canvas animations for physics problems. There are no unrelated environment variables, binaries, or installs requested that would be inconsistent with creating vector graphics and animations.
Instruction Scope
The SKILL.md describes an authoring and client-confirmation workflow (identify elements, set coordinates, generate Canvas code, optional physics calculation, publish). It does not instruct the agent to read system config, secret env vars, or call external endpoints. It does expect user-provided images/diagrams and interactive verification with the client, which is appropriate for the task.
Install Mechanism
No install spec or code files are present; this is instruction-only so nothing is written to disk or downloaded by the skill itself.
Credentials
No environment variables, credentials, or config paths are requested. The declared requirements are minimal and proportional to the stated functionality.
Persistence & Privilege
always is false and autonomous invocation is allowed (platform default). The skill does not request persistent system-wide privileges or modify other skills' configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install physics-animation-workflow - After installation, invoke the skill by name or use
/physics-animation-workflow - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release – provides a complete workflow for creating interactive HTML Canvas animations to visualize physics problems.
- Outlines a 10-step, two-phase (vectorization + animation) process for turning physics scenarios into HTML Canvas animations.
- Emphasizes the mutual dependence of vector diagrams and physics calculations.
- Specifies appropriate and inappropriate use cases (interactive animations vs static diagrams or text-only questions).
- Includes client interaction and verification at key steps.
- Provides detailed guidance on coordinate system differences between Canvas and standard physics conventions.
- English and Chinese documentation included.
Metadata
Frequently Asked Questions
What is 物理动画制作工作流?
将物理问题的运动过程制作成交互式 HTML Canvas 动画。当用户提供物理题目并希望制作动画来展示物理过程时，应使用本技能。特别适合力学、电磁学等需要展示物体运动轨迹的场景。⚠️ 不适合：只需静态示意图的问题（用 bitmap-vectorize）、纯文字物理推导题。 It is an AI Agent Skill for Claude Code / OpenClaw, with 152 downloads so far.
How do I install 物理动画制作工作流?
Run "/install physics-animation-workflow" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 物理动画制作工作流 free?
Yes, 物理动画制作工作流 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 物理动画制作工作流 support?
物理动画制作工作流 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 物理动画制作工作流?
It is built and maintained by wxdwqy (@wxdwqy); the current version is v1.0.0.
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