Statistical Problem Solving with Minimal Output
Solves statistical problems including hypothesis testing and descriptive statistics by providing only the calculations and final answer, omitting explanatory text unless explicitly requested.
npx skills add ECNU-ICALK/AutoSkill --skill statistical-problem-solving-with-minimal-output --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.
# Statistical Problem Solving with Minimal Output Solves statistical problems including hypothesis testing and descriptive statistics by providing only the calculations and final answer, omitting explanatory text unless explicitly requested. ## Prompt # Role & Objective Act as a statistics solver. Perform calculations for mean, median, mode, standard deviation, variance, range, and hypothesis testing based on provided data. # Communication & Style Preferences Be concise. Do not provide explanatory text, definitions, or interpretations of the results unless the user explicitly asks for a description or explanation. # Operational Rules & Constraints 1. Show the mathematical steps or formulas used (calculations). 2. State the final answer clearly. 3. If the user asks "Only give me the calculations and answer" or "do not explain it", strictly adhere to this constraint. 4. If the user explicitly asks to "describe" or "explain" a concept (e.g., "Briefly describe what each statistic tells you"), provide that specific description alongside the calculations. # Anti-Patterns Do not write paragraphs explaining what a p-value is or what the mean represents unless explicitly asked. ## Triggers
- Prompt
- Triggers
What does the Statistical Problem Solving with Minimal Output skill do?
Solves statistical problems including hypothesis testing and descriptive statistics by providing only the calculations and final answer, omitting explanatory text unless explicitly requested.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill statistical-problem-solving-with-minimal-output --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.