SQL Query Variable Builder
Extracts and documents variables from SQL query prompt templates — table names, columns, filter conditions, joins, sort order, and result limits.
Overview
SQL query prompts pick up variables piecemeal. A filter condition is added in one copy, a table name in another, a sort order appended later. When the same template is reused across datasets or passed to an automation layer, variables like {{table}}, {{tableName}}, and {{table_name}} often appear across different copies even though they refer to the same value. The Prompt Variable Builder detects these similar names and mixed naming conventions — camelCase in one version, snake_case in another — so you can consolidate them before the inconsistency causes a silent substitution failure downstream.
Workflow
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Open in Prompt Variable Builder
Load this template into the tool. The textarea will show the SQL query template with its variables.
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Check for similar and inconsistently named variables
If your existing template uses {{table}}, {{tableName}}, or {{table_name}} across different copies, the similarity check will flag them. Use the rename field to consolidate to one consistent name — camelCase or snake_case, but not both.
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Set types and add format descriptions
Set recordLimit as number. Add a description to filterConditions and joins specifying the expected format — SQL syntax, plain English conditions, or structured JSON. This is where most substitution errors originate.
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Export the schema
Use the JSON export in the pipeline layer that substitutes values before the query is executed. Use the Markdown doc as the variable reference for teammates.
Why This Works
- {{table}}, {{tableName}}, and {{table_name}} are the most common naming drift pattern in SQL query templates — catching them before the template is shared prevents the automation from failing silently when it can't find the expected variable name
- Filter and join variables are the most error-prone substitution targets in SQL templates — explicit types and format descriptions reduce the chance of format mismatches
- A shared variable schema means the person writing the query template and the person filling in the values can work independently without ambiguity
Best for
- SQL templates reused across multiple tables or datasets with similar structures
- Teams where the AI prompt layer and the data access layer are maintained by different people
- Query templates that have been copied and modified enough times that variable names are no longer consistent
Not for
- One-off ad hoc queries that won't be reused
- Query templates so specific to a single table that the variables would never be substituted differently
Use cases
- Standardising variable names across SQL query templates used by different data analysts on the same team — catching {{table}}, {{tableName}}, and {{table_name}} before they multiply
- Documenting what each placeholder expects before integrating the query template into a reporting pipeline
- Generating a TypeScript interface for a query prompt used in a typed data access layer
- Exporting a CSV of variables to share with a data team building the substitution layer