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Data Warehouse

Checked
pluginagentmarketplace·vlatest·data

Access and query structured data from your warehouse using natural language to extract insights and reports.

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-sql --skill data-warehouse -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-sql at 3f6ce49ea9.

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

Commit
3f6ce49ea9
Manifest
skills/data-engineer/SKILL.md
Scanned
5 files, 659 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

The data-warehouse skill enables AI agents to connect directly to SQL-based data warehouses, allowing them to execute queries and retrieve structured datasets for analysis. It acts as a bridge between natural language requests and complex database operations within enterprise storage systems.

When to use it

  • Querying historical sales trends or customer metrics stored in cloud warehouses like Snowflake or BigQuery.
  • Generating dynamic reports by filtering large volumes of transactional data based on specific time ranges.
  • Validating data integrity by running ad-hoc SQL checks against centralized repositories.
  • Extracting aggregated statistics for immediate decision-making without manual data export.

Key capabilities

  • Direct connection to SQL-compatible data warehouse environments.
  • Execution of complex SELECT, JOIN, and aggregation queries via natural language.
  • Retrieval of structured tabular results formatted for agent consumption.
  • Integration with the custom-plugin-sql ecosystem for database access.

Example prompts

  • "Show me total revenue by region for the last quarter from our data warehouse."
  • "List all customers who have made purchases over $500 in the past month."
  • "Calculate the average order value grouped by product category and sort descending."

Tips & gotchas

Ensure your AI agent has valid credentials and network permissions to access the specific data warehouse instance before attempting queries. Complex joins or massive result sets may require optimized SQL phrasing to prevent timeouts or excessive resource usage.