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DataPython

Statistical Analysis

by anthropics

Statistical Analysis is a Data skill for Claude Code, published by anthropics in knowledge-work-plugins.

23.3K stars2.8K forkson anthropics/knowledge-work-pluginsAdded 2026/07/19Repository updated 2026/08/06
Install in seconds
Install Statistical Analysis
Copy Statistical Analysis into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/anthropics/knowledge-work-plugins/tree/main/data/skills/statistical-analysis ~/.claude/skills/statistical-analysis

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/anthropics/knowledge-work-plugins.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
data/skills/statistical-analysis/SKILL.md in anthropics/knowledge-work-plugins
Installs to
~/.claude/skills/statistical-analysis
Collection
One of 26 skills cataloged from this repository
Category
Data812 skills

What Statistical Analysis does

Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing. Use when analyzing distributions, testing for significance, detecting anomalies, computing correlations, or interpreting statistical results.

Statistical Analysis is cataloged under Data on DirSkills.

Documentation

README

Statistical Analysis Skill

Descriptive statistics, trend analysis, outlier detection, hypothesis testing, and guidance on when to be cautious about statistical claims.

Descriptive Statistics Methodology

Central Tendency

Choose the right measure of center based on the data:

Situation Use Why
Symmetric distribution, no outliers Mean Most efficient estimator
Skewed distribution Median Robust to outliers
Categorical or ordinal data Mode Only option for non-numeric
Highly skewed with outliers (e.g., revenue per user) Median + mean Report both; the gap shows skew

Always report mean and median together for business metrics. If they diverge significantly, the data is skewed and the mean alone is misleading.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Statistical Analysis

  • What else does anthropics publish alongside Statistical Analysis?

    Statistical Analysis is one of 26 skills that DirSkills catalogs from anthropics/knowledge-work-plugins, the repository it ships in. Its siblings there include Accessibility Review, Analyze Data and Bio-Research Start. Each one is a separate skill with its own page in this directory, installs the same way Statistical Analysis does, and is maintained by anthropics in that same repository. The rest of the collection is listed on the anthropics/knowledge-work-plugins page.

  • How does Statistical Analysis compare to other Data skills?

    Statistical Analysis ranks #93 by stars among the 812 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Statistical Analysis against them. Open each page to compare what they document and how they install.

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