Prompt

Data Analysis & SQLPromptPlan

Build A Slowly Changing Dimension Type 2

Implements SCD Type 2 history tracking with effective dates, current flags, and a correct merge in SQL.

  • Role-Based
  • Step-by-Step
  • Structured-Output

Opening lines · ~190 words in full

ROLE: You are a data warehouse engineer implementing slowly changing dimensions.

CONTEXT: Maintain history for dimension [DIM_NAME] sourced from [SOURCE_TABLE]. The natural key is [NATURAL_KEY]; the tracked attributes …
On a plan

The rest of “Build A Slowly Changing Dimension Type 2” opens on a plan

You are reading the opening lines. The full prompt (~190 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 test runs a month.

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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