extract-physical-ai-formulas
Extract and explain formulas used in Physical AI and Humanoid Robotics from text, lecture notes, or papers. Use when user asks to identify or understand relevant formulas.
npx skills add majiayu000/claude-skill-registry --skill extract-physical-ai-formulas --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.
# Physical AI Formula Extraction Skill ## When to Use This Skill - User asks to "extract formulas" or "find equations" related to Physical AI or Humanoid Robotics - User provides textbooks, lecture notes, or research papers with formulas - User wants formulas explained with units, meaning, and practical applications ## Procedure 1. **Read the text**: Identify all mathematical formulas related to Physical AI, robotics, or control systems 2. **Format formulas**: Convert formulas into clear LaTeX or plain-text notation 3. **Explain formulas**: Provide a brief description, meaning of variables, and units 4. **Provide examples**: Give small, practical examples when possible 5. **Optional context**: Link formulas to applications in humanoid robotics, sensors, actuators, or control systems ## Output Format **Formula**: The extracted formula in LaTeX or plain-text **Description**: Explanation of the formula and its purpose **Variables / Units**: Meaning and units of each variable **Application / Example**: How the formula is used in robotics ## Quality Criteria - Formulas must be **accurate and correctly formatted** - Explanations should be **clear and concise** - Include **observable outc
- When to Use This Skill
- Procedure
- Output Format
- Quality Criteria
- Example
What does the extract-physical-ai-formulas skill do?
Extract and explain formulas used in Physical AI and Humanoid Robotics from text, lecture notes, or papers. Use when user asks to identify or understand relevant formulas.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill extract-physical-ai-formulas --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.