What does this skill do?

The Statistical Analysis skill gives an agent methodology for applying statistics to business data — descriptive statistics, trend analysis and forecasting, outlier detection, and hypothesis testing.

It chooses the right measures for the data — mean versus median, standard deviation versus IQR — and communicates uncertainty with ranges rather than false precision.

It also distinguishes statistical from practical significance and warns against pitfalls like correlation-causation confusion, multiple comparisons, and Simpson's paradox.

  • Computes and interprets descriptive statistics

  • Analyzes trends with moving averages and period comparisons

  • Detects outliers with z-score, IQR, and percentile methods

  • Runs hypothesis tests and reports effect size and impact

How it works

1

Describe the data

The agent computes appropriate measures of center and spread and describes the distribution's shape, center, and outliers.

2

Analyze trends

It applies moving averages, period-over-period comparisons, and growth rates, and detects seasonality.

3

Detect anomalies

It identifies outliers with z-score, IQR, or percentile methods and distinguishes point anomalies from change points.

4

Test and interpret

It runs hypothesis tests, reports effect size and confidence intervals, and separates statistical from practical significance.

Best use cases for this skill

  • Descriptive summaries: Summarize distributions with the right center and spread.

  • Trend analysis: Track trends and seasonality with moving averages.

  • Anomaly detection: Flag outliers and anomalies in datasets.

  • A/B testing: Test significance and report effect size and business impact.

Frequently asked questions

What does the Statistical Analysis skill do?

It applies statistical methods — descriptive statistics, trend analysis, outlier detection, and hypothesis testing — and interprets the results for business decisions.

When should an agent use it?

Use it when analyzing distributions, testing for significance in A/B tests, detecting anomalies, computing correlations, or interpreting statistical results.

Does it distinguish statistical from practical significance?

Yes. It reports effect size, confidence intervals, and business impact, and notes when a statistically significant result is too small to matter.

What pitfalls does it warn about?

Correlation versus causation, the multiple-comparisons problem, Simpson's paradox, survivorship bias, and false precision.

Use from source

Ask your Buda agent to install this community skill.

Copy this prompt into your own Buda agent. It includes the source repository and install command so the agent can complete the setup in natural language.

Prompt to send to your Buda agent
Please install the "Statistical Analysis Skill" skill into this Buda agent.

Source repository: https://github.com/anthropics/knowledge-work-plugins
Install command: npx skills add anthropics/knowledge-work-plugins --skill statistical-analysis -y -a universal

Please run the install command, verify the skill is available, and tell me any setup notes or follow-up steps from the source repository.
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Install workflow

  1. 1Copy the prompt
  2. 2Send it to your Buda agent
  3. 3Done