Skip to content
TrustedSkillsbeta
Back to all skills

Text To Sql

Checked
kdoronin·vlatest·database

This skill converts natural language questions into SQL queries, making it easy to extract data from databases without coding.

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 kdoronin/claude_code_skills --skill text-to-sql -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

kdoronin

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 kdoronin/claude_code_skills at 9b906402aa.

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

Scanned
9 files, 2,464 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 translates natural language questions into SQL queries. It allows users to interact with databases using plain English, eliminating the need for manual SQL coding. The generated SQL can then be executed against a database to retrieve specific information.

When to use it

  • Data Analysis: Quickly extract insights from a database without writing complex SQL statements.
  • Report Generation: Automate the creation of reports by converting business questions into SQL queries.
  • Database Exploration: Explore and understand data within a database through natural language interactions.
  • Prototyping: Rapidly prototype database applications or dashboards.

Key capabilities

  • Natural Language to SQL conversion
  • Database query generation
  • SQL execution (implied, but not explicitly stated)

Example prompts

  • "What are the names of all customers in California?"
  • "Show me the total sales for each product category."
  • "Find the average order value last month."

Tips & gotchas

The skill's accuracy depends on the clarity and specificity of the natural language prompt. Providing context about the database schema can improve query generation.