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Statistical Analysis

Listed
davila7·vlatest·data·MIT

Analyzes user interface data to identify trends, anomalies, and areas for A/B testing optimization on Davila7 frontends.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill statistical-analysis -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

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Not scanned. none of the 457 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as davila7/claude-code-templates.
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About this skill

What it does

This skill enables AI agents to perform statistical analysis on datasets, including calculating descriptive statistics, conducting hypothesis tests, and generating visualizations. It supports integration with common data formats like CSV and JSON, making it useful for data-driven decision-making in frontend applications.

When to use it

  • Analyzing user behavior data from a web application to identify trends.
  • Validating the significance of A/B test results before deploying new features.
  • Generating charts or graphs directly within a frontend interface using statistical insights.

Key capabilities

  • Descriptive statistics (mean, median, standard deviation)
  • Hypothesis testing (t-tests, chi-square tests)
  • Data visualization (charts and graphs)
  • Support for CSV and JSON data formats

Example prompts

  • "Calculate the average session duration from this user activity log."
  • "Run a t-test to compare conversion rates between two versions of a landing page."
  • "Generate a histogram showing the distribution of user scores in this dataset."

Tips & gotchas

  • Ensure your data is clean and formatted correctly before analysis.
  • Some advanced statistical methods may require additional libraries or backend integration for full functionality.