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Percentile Analyzer

Listed
jeremylongshore·vlatest·data·MIT

Analyzes data to determine percentiles, revealing key distribution insights and highlighting outliers for better decision-making.

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 jeremylongshore/tons-of-skills-marketplace --skill percentile-analyzer -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

jeremylongshore

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

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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About this skill

What it does

The Percentile Analyzer skill calculates the percentile rank of a given value within a dataset. It can process lists of numbers and determine where a specific data point falls relative to others, providing insights into distribution and performance. This allows for comparisons beyond simple averages or medians.

When to use it

  • Performance Evaluation: Determine how a student's test score compares to the rest of the class by calculating its percentile rank.
  • Sales Analysis: Identify where a particular sales figure sits within the range of all previous sales data.
  • Financial Modeling: Analyze investment returns and understand their relative performance compared to other investments.
  • Data Distribution Understanding: Quickly grasp how values are distributed in a dataset without needing to manually sort or graph them.

Key capabilities

  • Calculates percentile rank from numerical datasets.
  • Accepts lists of numbers as input.
  • Provides the percentile value for a specified data point.

Example prompts

  • "What is the 75th percentile of the following list: [10, 20, 30, 40, 50]?"
  • "Calculate the percentile rank of 35 in this dataset: [12, 18, 25, 35, 42, 51]."
  • “Find the 90th percentile for these values: [5, 10, 15, 20, 25, 30, 35]”

Tips & gotchas

The skill requires a list of numerical data as input. Ensure your data is clean and contains only numbers to avoid errors.