Engineering

SQL Query Variable Builder

Extracts and documents variables from SQL query prompt templates — table names, columns, filter conditions, joins, sort order, and result limits.

Open in Prompt Variable Builder

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.

How to use this resource

Open in Prompt Variable Builder

Load this template into the tool. The textarea will show the SQL query template with its variables.
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.
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.
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

FAQ

How does it catch that {{table}}, {{tableName}}, and {{table_name}} are the same variable?

The Prompt Variable Builder's similarity check flags near-duplicate names and mixed camelCase/snake_case conventions across your copies, then the rename field lets you consolidate them to one name. It's naming-drift detection on the template text — it doesn't run the SQL, so it catches the silent substitution failure before your automation layer can't find the expected variable.

Where does the exported variable schema actually get used?

In your pipeline's substitution layer, not here. Step four exports JSON for the code that fills values before the query is executed, plus a Markdown doc as the teammate reference, and it can emit a TypeScript interface for a typed data access layer. The builder documents the placeholders like {{filterConditions}} and {{joins}}; the actual substitution and execution happen downstream in your own stack.

Why set a type and format description on filterConditions and joins specifically?

Those two are the most error-prone substitution targets in SQL templates. Step three has you set recordLimit as a number and describe the expected format for {{filterConditions}} and {{joins}} — SQL syntax, plain-English conditions, or structured JSON — because that ambiguity is where most substitution errors originate when the value-filler and template-author are different people.

Customize This Resource

Opens this prompt in Prompt Variable Builder. Detect the changeable values and turn it into a reusable template.

Open in Prompt Variable Builder

Inputs you need

Have these details ready before you copy or open the template.

The table name and the columns the query should return
The filter conditions and any joins across tables
The sort order and how many records to return
Your database type or SQL dialect (Postgres, MySQL, etc.)
Any grouping or aggregation the result needs

Prompt Template

Copy it as-is, or use Open in Prompt Variable Builder to load it pre-filled and customize it with your own context.

Write a SQL query against the {{tableName}} table.

Columns to return: {{columns}}

Filter conditions: {{filterConditions}}

Joins required: {{joins}}

Sort by: {{sortOrder}}

Maximum records: {{recordLimit}}

Database type: {{databaseType}}

Group by column: {{groupByColumn}}

Variables in this template

{{tableName}} {{columns}} {{filterConditions}} {{joins}} {{sortOrder}} {{recordLimit}} {{databaseType}} {{groupByColumn}}

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