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Csv Excel Merger

Checked
onewave-ai·vlatest·data·MIT

Seamlessly merges multiple CSV files into a single Excel spreadsheet using onewave-ai's intelligent data alignment.

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 onewave-ai/claude-skills --skill csv-excel-merger -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

onewave-ai

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 onewave-ai/claude-skills at f317e08649.

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

Scanned
4 files, 330 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 merges multiple CSV or Excel files into a single, consolidated file. It supports various formats including .csv, .xls, and .xlsx, allowing you to combine data from different sources into a unified dataset. The merged output can be downloaded as either a CSV or an Excel file.

When to use it

  • Consolidating sales data from multiple regional spreadsheets into one master report.
  • Combining customer lists from various marketing campaigns stored in separate CSV files.
  • Merging inventory records from different warehouses, each maintained in its own Excel sheet.
  • Creating a unified dataset for analysis by combining data from several sources.

Key capabilities

  • Supports .csv, .xls, and .xlsx file formats.
  • Merges multiple input files into a single output file.
  • Output format selection (CSV or Excel).
  • Downloadable merged file.

Example prompts

  • "Merge these three CSV files: sales_q1.csv, sales_q2.csv, and sales_q3.csv."
  • "Combine the Excel files 'inventory_warehouse_a.xlsx' and 'inventory_warehouse_b.xlsx' into a single CSV file."
  • “Please merge these excel sheets: sheet1.xls, sheet2.xlsx, and output as an excel file.”

Tips & gotchas

  • Ensure all input files have consistent headers for accurate merging. Inconsistent headers may result in data misalignment.