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Excel Spreadsheets

Checked
aws-samples·vlatest·data·MIT

This skill allows you to generate and manipulate Excel spreadsheets directly within your workflow, streamlining data analysis and reporting.

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 aws-samples/sample-strands-agent-with-agentcore --skill excel-spreadsheets -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

aws-samples

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aws-samples/sample-strands-agent-with-agentcore at 4c1933d9e3.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
4c1933d9e3
Manifest
chatbot-app/agentcore/skills/excel-spreadsheets/SKILL.md
Scanned
1 file, 169 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows AI agents to interact with and manipulate Excel spreadsheets. It can read data from existing files, create new spreadsheets, perform calculations within cells using formulas, and write updated data back to files. The agent can understand instructions related to cell selection, formula application, and data formatting.

When to use it

  • Data Analysis: Extracting key metrics and insights from a spreadsheet containing sales figures or customer demographics.
  • Report Generation: Automatically updating a report by pulling data from an Excel file and generating new charts or tables.
  • Financial Modeling: Creating and modifying financial models, including calculating loan payments or projecting investment returns.
  • Inventory Management: Updating inventory levels in a spreadsheet based on sales transactions.

Key capabilities

  • Reading data from existing Excel files (.xlsx)
  • Creating new Excel spreadsheets
  • Writing updated data to Excel files
  • Applying formulas to cells (e.g., SUM, AVERAGE)
  • Cell selection and manipulation

Example prompts

  • "Can you open 'sales_data.xlsx' and tell me the total sales for Q3?"
  • "Create a new spreadsheet called 'budget.xlsx' and add columns for 'Category', 'Planned Amount', and 'Actual Amount'."
  • “In ‘inventory.xlsx’, update the quantity of product ID 123 to 50.”

Tips & gotchas

  • The agent requires access to the Excel files you want it to work with. Ensure proper file paths are provided.
  • Complex formulas or advanced formatting options may require more detailed instructions for optimal results.