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Write Sql Queries

Checked
g4brym·vlatest·database·MIT

Provides content writing guidance and assistance for working with databases and data persistence.

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 g4brym/workers-qb --skill write-sql-queries -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

g4brym

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 g4brym/workers-qb at 38ccea7819.

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

Commit
38ccea7819
Manifest
skills/write-sql-queries/SKILL.md
Scanned
1 file, 699 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 generate SQL queries based on natural language instructions. It can translate complex requests into structured query language, enabling interaction with databases and retrieval of specific data. The generated queries are designed to be executable against relational database systems.

When to use it

  • Extracting specific customer information from a CRM database based on criteria like location or purchase history.
  • Generating reports summarizing sales figures for a particular product category over a defined time period.
  • Populating a data visualization dashboard by querying relevant metrics from an operational database.
  • Analyzing website traffic patterns by constructing queries against web analytics databases.

Key capabilities

  • SQL query generation
  • Database interaction
  • Natural language processing of requests

Example prompts

  • "Write a SQL query to find all customers in California."
  • "Generate a query that returns the total sales for each product category last month."
  • “Give me a SQL query to list orders placed after January 1st, 2024.”

Tips & gotchas

The skill's effectiveness depends on clear and specific instructions. Providing context about the database schema (table names, column names) will improve accuracy.