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Sql Patterns

Listed
0xdarkmatter·vlatest·database·MIT

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

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This skill no longer installs under the name sql-patterns. 0xdarkmatter/claude-mods has no skill named "sql-patterns" any more. It was renamed, moved or deleted upstream.

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Repository install instructions

What we know about this skill

Publisher

0xdarkmatter

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

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scanned

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Not scanned. none of the 108 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as 0xdarkmatter/claude-mods.
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About this skill

What it does

This skill allows AI agents to generate SQL queries based on natural language descriptions. It can translate user requests into structured database commands, facilitating data retrieval and manipulation. The agent can also interpret existing SQL code and explain its purpose or modify it according to instructions.

When to use it

  • Data Analysis: Extract specific information from a database when you don't know the exact SQL syntax.
  • Database Troubleshooting: Understand complex SQL queries by having the agent explain their functionality.
  • SQL Learning: Generate and analyze SQL code snippets for educational purposes or experimentation.
  • Code Modification: Request changes to existing SQL queries, such as adding filters or sorting criteria.

Key capabilities

  • Generate SQL queries from natural language descriptions.
  • Explain the purpose of existing SQL code.
  • Modify provided SQL code based on instructions.

Example prompts

  • "Write a query to find all customers who placed an order in the last month."
  • "Can you explain what this SQL code does: SELECT * FROM orders WHERE total > 100?"
  • "Modify this query to sort by date descending: SELECT product_name FROM products"

Tips & gotchas

The agent's effectiveness depends on the clarity and specificity of your natural language instructions. Providing context about the database schema can significantly improve the accuracy of generated SQL queries.