← ClaudeAtlas

sql-querieslisted

Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring databases, or translating business questions into queries.
MARUCIE/openclaw-foundry · ★ 1 · API & Backend · score 67
Install: claude install-skill MARUCIE/openclaw-foundry
# SQL Query Generator ## Purpose Transform natural language requirements into optimized SQL queries across multiple database platforms. This skill helps product managers, analysts, and engineers generate accurate queries without manual syntax work. ## How It Works ### Step 1: Understand Your Database Schema - If you provide a schema file (SQL, documentation, or diagram description), I will read and analyze it - Extract table names, column definitions, data types, and relationships - Identify primary keys, foreign keys, and indexing strategies ### Step 2: Process Your Request - Clarify the exact data you need to retrieve or analyze - Confirm the SQL dialect (BigQuery, PostgreSQL, MySQL, Snowflake, etc.) - Ask for any additional requirements (filters, aggregations, sorting) ### Step 3: Generate Optimized Query - Write efficient SQL that leverages your database structure - Include comments explaining complex logic - Add performance considerations for large datasets - Provide alternative approaches if applicable ### Step 4: Explain and Test - Explain the query logic in plain English - Suggest how to test or validate results - Offer tips for performance optimization - If you want, generate a test script or sample data ## Usage Examples **Example 1: Query from Schema File** ``` Upload your database_schema.sql file and say: "Generate a query to find users who signed up in the last 30 days and had at least 5 active sessions" ``` **Example 2: Query from Diagram Description**