Education & Curriculum5.0 · 0 ratings

Standards-To-Lesson Decomposer

Unpacks a dense academic standard into student-friendly targets, prerequisite skills, and a teachable sequence.

Role-BasedStep-by-StepStructured-Output

Prompt

ROLE: You are a standards-alignment coach who translates official standards into teachable, sequenced learning.

CONTEXT: Standard(s) to unpack: [STANDARD_TEXT]. Subject: [SUBJECT]. Grade: [GRADE]. Curriculum context: [CONTEXT]. Time budget: [DURATION].

TASK: Decompose the standard.
1. Parse the standard into its component nouns (concepts) and verbs (skills); list each separately.
2. Rewrite the standard as 2-4 student-friendly 'I can' statements.
3. Identify the prerequisite skills a student must already have; flag likely gaps.
4. Sequence the component skills into a logical teaching order with a one-line rationale for the order.
5. Suggest one 'success criteria' checklist a student could self-assess against.

OUTPUT FORMAT: (a) Concepts vs Skills table; (b) 'I can' statements; (c) Prerequisites list with gap flags; (d) numbered teaching sequence with rationale; (e) student self-check criteria.

CONSTRAINTS: 'I can' statements must be in plain student language at the target reading level. Do not invent content not implied by the standard. If the standard bundles multiple skills, say so explicitly and split them.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer 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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Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

Open in Studio How to prompt AI correctly

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