Skip to content
TrustedSkillsbeta
Back to all skills

Etl Tools

Checked
pluginagentmarketplace·vlatest·data

This ETL Tools skill automates data extraction, transformation, and loading processes for streamlined data workflows and improved data quality.

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 pluginagentmarketplace/custom-plugin-data-engineer --skill etl-tools -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

pluginagentmarketplace

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 pluginagentmarketplace/custom-plugin-data-engineer at 0322b7c023.

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

Commit
0322b7c023
Manifest
skills/etl-tools/SKILL.md
Scanned
6 files, 1,069 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 provides access to Extract, Transform, Load (ETL) tools. It enables AI agents to extract data from various sources, transform it into a usable format, and load it into a destination system – facilitating data integration and analysis. The tool supports common ETL operations like cleaning, filtering, and aggregating data.

When to use it

  • Data Migration: Moving data from an old legacy system to a new cloud-based platform.
  • Business Intelligence (BI) Reporting: Preparing raw data for dashboards and reports by cleansing and transforming it.
  • Data Warehousing: Populating a data warehouse with consolidated information from multiple operational systems.
  • Customer Data Integration: Combining customer data from different sources (CRM, marketing automation, support tickets) into a unified view.

Key capabilities

  • Data extraction from diverse sources
  • Data transformation and cleansing
  • Data loading into target systems
  • Support for common ETL operations

Example prompts

  • "Extract sales data from the CSV file 'sales_2023.csv' and load it into a PostgreSQL database."
  • "Cleanse customer records by removing duplicates and standardizing address formats, then transform them to match the schema of our CRM system."
  • “Aggregate website traffic data from Google Analytics and store the results in a Snowflake table.”

Tips & gotchas

The skill requires knowledge of data schemas and database connection details. Ensure you provide accurate credentials and target system information for successful ETL operations.