Advanced Data Analysis

    2

    Automate Python-based data cleaning, statistical analysis, and visualization for uploaded files in the code interpreter.

    $5.99

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    1 installSecurity scanned

    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    Advanced Data Analysis

    Example session with this skill installed

    I uploaded q4_sales.csv. Clean the revenue column, group by region, and give me a bar chart of the totals saved as a PNG. Also, run a regression of revenue against units.

    • Read your context and instructions
    • Compiled the advanced data analysis
    • Generated the data export

    Python script executed successfully.

    • Cleaned 'revenue' (removed symbols, cast to float).
    • Grouped by 'region'.
    • Generated 'q4_revenue_region.png'.
    • Stats: slope=12.45, r=0.89, p=1.2e-05.
      [Download q4_revenue_region.png] [Download summary.csv]

    advanced-data-analysis.csv

    CSV · data export

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Clean and normalize messy spreadsheets for immediate analysisGenerate downloadable charts and tables from raw data uploadsExecute statistical tests and regressions with proper p-value reportingMerge multiple CSV or Excel sheets into a single consolidated report

    About this skill

    The problem

    Vague data prompts often result in broken Python code, unhandled null values, or memory errors. Manual data cleaning and visualization in a sandbox environment is time-consuming and prone to silent failures.

    What it does

    • Cleans and transforms raw uploads using pandas, handling currency formats, whitespace, and duplicates.
    • Generates professional visualizations with matplotlib and seaborn, including automatic axis labeling and file exports.
    • Performs statistical analysis including linear regressions, t-tests, and correlation matrices.
    • Orchestrates multi-sheet Excel processing and joins disparate datasets on shared keys.
    • Implements memory-efficient chunking and explicit dtype pinning to prevent environment crashes.

    Frameworks & tools

    Python, pandas, numpy, scipy, matplotlib, and seaborn.

    Why this beats prompting it yourself

    Standard LLM prompts often ignore data types and fail to save chart files for download. This skill enforces rigorous data validation and export recipes, ensuring you get runnable code and tangible files instead of just text descriptions.

    Use cases

    • Clean and join customer orders with CRM data for a unified reporting view.
    • Generate publication-ready PNG charts from messy CSV sales exports.
    • Run A/B test significance checks and linear regressions on experiment data.
    • Reshape daily logs into monthly pivot tables for executive summaries.

    Known limitations

    Limited to the Python sandbox environment. Cannot access external databases, live APIs, or the web. Large files exceeding 2GB require sampling or chunking to stay within RAM limits.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Security scanned

    Passed our 8-point scan before listing

    1 install

    Downloaded by developers to date

    30-day refund

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    Trust & safety

    Security scanned

    Verified clean 27 days ago

    • Passed all security checks, Safe to install

    Listed27 days ago

    Frequently Asked Questions