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Text To Sql

Listed
oimiragieo·vlatest·database

Converts natural language questions into SQL queries, streamlining database interaction and making data access easier for non-technical users.

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 oimiragieo/agent-studio --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

oimiragieo

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.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 73 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as oimiragieo/agent-studio.
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About this skill

What it does

This skill enables AI agents to automatically generate and execute SQL queries based on natural language instructions. It bridges the gap between human-readable questions and database operations, allowing agents to retrieve specific data directly from structured sources without manual coding.

When to use it

  • Answering ad-hoc business questions like "What were total sales last quarter?" by querying transaction tables.
  • Automating routine reporting tasks where an agent needs to filter and aggregate customer records.
  • Debugging database issues by having the agent construct complex joins or subqueries based on error descriptions.

Key capabilities

  • Translates natural language prompts into valid SQL syntax.
  • Executes queries against connected database instances.
  • Retrieves structured data results for further processing or display.

Example prompts

  • "Find all customers who have spent more than $500 in the last 30 days."
  • "Generate a list of products that are currently out of stock along with their reorder quantities."
  • "Calculate the average order value for each region and sort them from highest to lowest."

Tips & gotchas

Ensure your AI agent has explicit read-only permissions on the target database to prevent accidental data modification. Always validate the generated SQL before execution in production environments to avoid syntax errors or unintended logic.