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Excel Analysis

Listed
davila7·vlatest·data·MIT

Analyzes Excel spreadsheets, identifying trends, outliers, and insights based on your specified criteria and questions.

Repository

Install on your platform

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

Installs under a different name. Its SKILL.md names it Excel Analysis, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill "Excel 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

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

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

The Excel Analysis skill enables AI agents to interpret, analyze, and generate insights from data stored in Excel files. It supports tasks such as identifying trends, performing calculations, and summarizing key findings directly from spreadsheets.

When to use it

  • To extract insights from sales or financial reports stored in Excel.
  • For automating routine data analysis tasks like generating summaries or charts.
  • When preparing reports that require structured data interpretation.
  • To clean and preprocess data before further analysis or visualization.

Key capabilities

  • Parsing and analyzing Excel (.xls, .xlsx) files
  • Identifying patterns and trends in numerical data
  • Generating summary statistics and visualizations
  • Automating repetitive data processing workflows

Example prompts

  • "Analyze the sales data in this spreadsheet and highlight any seasonal trends."
  • "Generate a summary of key metrics from the financial report provided in Excel."
  • "Create a chart showing monthly revenue changes based on the dataset in this file."

Tips & gotchas

  • Ensure that the Excel files are properly formatted with clear headers for accurate analysis.
  • Large spreadsheets may require additional processing time, so optimize data structure where possible.