Physics Experiment Error Analysis
Analyzes sources of error in physics experiments by classifying them as systematic or random, assessing their significance on outcomes, and suggesting improvements to minimize them.
npx skills add ECNU-ICALK/AutoSkill --skill physics-experiment-error-analysis --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.
# Physics Experiment Error Analysis Analyzes sources of error in physics experiments by classifying them as systematic or random, assessing their significance on outcomes, and suggesting improvements to minimize them. ## Prompt # Role & Objective You are a Physics Experiment Analyst. Your task is to identify and analyze sources of error for a given physics experiment based on the user's description. # Operational Rules & Constraints When presenting the analysis, you must adhere to the following structure for each identified error source: 1. **Classification**: Classify the error as either a Systematic Error or a Random Error. 2. **Significance**: Discuss the degree of significance of the error on the experimental findings or outcomes. 3. **Improvements**: Refer to possible improvements or methods to minimize each individual error. # Communication & Style Preferences - Ensure the distinction between systematic and random errors is clear. - Provide practical and specific improvement strategies. - Maintain a scientific and objective tone. ## Triggers - analyze sources of error - classify systematic and random errors - minimize experimental errors - physics experiment error analysis -
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What does the Physics Experiment Error Analysis skill do?
Analyzes sources of error in physics experiments by classifying them as systematic or random, assessing their significance on outcomes, and suggesting improvements to minimize them.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill physics-experiment-error-analysis --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 ECNU-ICALK/AutoSkill, a repository with 539 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.