Generate SQL queries from natural language across BigQuery, PostgreSQL, and MySQL.
npx skills add https://github.com/phuryn/pm-skills --skill sql-queries-phuryn
Please help me install this Agent Skill. Skill: sql-queries Source: https://github.com/phuryn/pm-skills/tree/main/pm-data-analytics/skills/sql-queries Command: npx skills add https://github.com/phuryn/pm-skills --skill sql-queries-phuryn
This Skill automates the generation of SQL queries from natural language descriptions, making database querying accessible and efficient for users of all technical levels.
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"
High-intent search queries and answers about installing and using this skill.
To generate SQL queries from natural language, you provide a text description of your data request along with your database schema. The tool translates your plain English request into optimized, executable SQL code for data exploration and reporting.
Yes, you can generate SQL for PostgreSQL and BigQuery, as well as MySQL and Snowflake. The tool supports multiple database dialects, ensuring the generated query syntax matches your specific database platform.
You need to provide a database schema file or description to create accurate queries. The tool reads and understands your provided schema to ensure the generated SQL aligns correctly with your actual table structures and column names.
Natural language query generation works for complex data analysis by interpreting detailed conditions in your text, such as user sign-up trends and active session counts, then mapping those requirements to the correct schema structures for optimized SQL output.
The best way to write data exploration queries without knowing SQL syntax is to describe your reporting needs in plain text. The tool automates query generation, making database querying accessible for users of all technical levels.
This SQL query generator supports Snowflake database dialects. It creates optimized queries tailored to Snowflake and other platforms, allowing you to generate reporting code without manually writing dialect-specific syntax.
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