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Export Data To Csv

Checked
snaplogic·vlatest·data

Helps with data, CSV as part of building frontend UIs and user experiences workflows.

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 snaplogic/snaplogic-robotframework-examples --skill export-data-to-csv -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

snaplogic

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 snaplogic/snaplogic-robotframework-examples at b910cd1309.

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

Scanned
2 files, 337 lines
Copies in repo
2 — all of them scanned
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 an AI agent to export data into a Comma Separated Values (CSV) file. It takes structured data, such as from a database or API response, and formats it for easy import into spreadsheet applications like Excel or Google Sheets. The resulting CSV file can then be used for analysis, reporting, or further processing.

When to use it

  • Data Reporting: Generate a CSV report of key metrics extracted from an application's data.
  • Data Migration: Export data from one system and prepare it for import into another.
  • Spreadsheet Analysis: Quickly get data out of a system and into a spreadsheet for analysis or visualization.
  • Backup & Archiving: Create CSV backups of important datasets.

Key capabilities

  • Exports structured data to CSV format.
  • Suitable for various data sources (e.g., databases, APIs).
  • Facilitates easy import into spreadsheet applications.

Example prompts

  • "Export the customer order data from the database to a CSV file."
  • "Create a CSV of all products with prices greater than $50."
  • “Generate a CSV report summarizing website traffic for the last week.”

Tips & gotchas

  • This skill requires the AI agent to have access to the underlying data source. Ensure proper permissions and credentials are configured beforehand.