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Not found in its repository. We could not find this skill in its repository when we last checked (998395b, 25 Oct 2026). It is left out of listings and search until a later check finds it again.

Sql Query Helper

Listed
ntaksh42·vlatest·database

Provides querying guidance and assistance for working with databases and data persistence.

Install on your platform

This skill no longer installs under the name sql-query-helper. ntaksh42/dotfiles has no skill named "sql-query-helper" any more. It was renamed, moved or deleted upstream.

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Repository install instructions

What we know about this skill

Publisher

ntaksh42

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Install target

Live repository

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scanned

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Not scanned. none of the 4 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as ntaksh42/agents.
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About this skill

What it does

This skill helps users generate SQL queries based on natural language descriptions. It can translate user requests into valid SQL statements, simplifying database interaction and analysis. The tool is designed to handle a variety of query types, including data retrieval, filtering, and aggregation.

When to use it

  • You need to extract specific information from a database but are unfamiliar with SQL syntax.
  • You want to quickly generate complex queries for reporting or data exploration.
  • You're prototyping a data analysis workflow and require rapid query generation.
  • You’re automating tasks that involve querying relational databases.

Key capabilities

  • Natural language to SQL translation
  • Query generation based on user descriptions
  • Support for various SQL operations (filtering, aggregation)
  • Database interaction simplification

Example prompts

  • "Show me all customers from California."
  • "What are the top 5 products by sales?"
  • “Generate a query to find orders placed after January 1st, 2023.”

Tips & gotchas

The skill's accuracy depends on clear and specific natural language input. Providing context about the database schema (table names, column names) can significantly improve the quality of generated SQL queries.