Convert natural language queries into schema-aware SQL with joins and aggregations.
npx skills add https://github.com/oimiragieo/agent-studio --skill text-to-sql
Please help me install this Agent Skill. Skill: text-to-sql Source: https://github.com/oimiragieo/agent-studio/tree/main/.claude/skills/text-to-sql Command: npx skills add https://github.com/oimiragieo/agent-studio --skill text-to-sql
This Skill eliminates the complexity of writing database queries by converting your plain English requests into optimized SQL.
Generate SQL to find all users who signed up in the last month.
High-intent search queries and answers about installing and using this skill.
Natural language to SQL conversion translates plain English questions into executable SQL queries. This Skill accepts your text description and generates schema-aware SQL with joins and aggregations, ready to run against your database for reporting and data analysis tasks.
Yes. This Skill eliminates manual SQL writing by accepting plain English requests and returning optimized, parameterized SQL queries. You describe what data you need, and the Skill generates valid SQL syntax validated against your schema.
Natural language to SQL handles schema-aware query generation including joins, aggregations, and filtering. It supports database querying, data analysis workflows, and reporting tasks with parameterized query generation, syntax validation, and error handling.
No. This Skill bridges the gap for non-SQL users by converting English descriptions directly into SQL code. You describe what you want to find in your data, and it produces ready-to-run queries without requiring SQL syntax expertise.
The Skill generates schema-aware SQL that includes joins and aggregations based on your natural language request. It applies database schema knowledge to construct correct multi-table queries and aggregate functions matching your intent.
This Skill includes error handling and syntax validation to catch issues before execution. It tests generated queries on sample data and applies parameterized query generation to prevent syntax errors and schema mismatches.
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