Generate optimized SQL queries from natural language for multiple dialects.
npx skills add https://github.com/omeragaakbas/zoyare --skill sql-queries-omeragaakbas
Please help me install this Agent Skill. Skill: sql-queries Source: https://github.com/omeragaakbas/zoyare/tree/main/.claude/skills/sql-queries Command: npx skills add https://github.com/omeragaakbas/zoyare --skill sql-queries-omeragaakbas
Convert natural language questions and analysis requirements into correct, efficient SQL so teams can get insights without writing complex queries by hand.
Generate a PostgreSQL query to find users who signed up in the last 30 days and had at least five active sessions using the uploaded schema file.
High-intent search queries and answers about installing and using this skill.
To generate optimized SQL queries from natural language, describe your analysis requirements and upload a schema file. The system translates your text into production-ready SQL for BigQuery, PostgreSQL, MySQL, and Snowflake, complete with comments and performance notes.
Yes, you can translate business questions into SQL by providing a natural language description of the needed report. The system reads your schema to handle table relationships, generating the necessary joins and aggregations automatically without manual coding.
Yes, natural language SQL generation works with uploaded schema files, SQL dumps, or diagram descriptions. It extracts tables, columns, and keys from these inputs to ensure the generated queries respect your actual database structure and chosen SQL dialect.
The best way to perform query optimization and testing on generated SQL is to use the built-in performance notes, suggested indexes, and optional test scripts. These features ensure your queries are production-ready and efficient for analytics and reporting tasks.
Yes, you can create a cohort analysis query in PostgreSQL by asking for it in a natural language prompt. The system applies your specific SQL dialect and schema to produce the correct query logic for your analytics requirements.
Including schema files when generating SQL queries ensures the output respects your actual database tables, columns, and relationships. This schema-aware generation prevents incorrect joins and produces accurate, production-ready queries for your dashboards.
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