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Custom prompt shortcut / Prompt Engineering

/promptgenerator — ChatGPT Prompt Guide

Explore the /promptgenerator custom ChatGPT prompt shortcut with a practical template, examples, and review steps. Learn how to refine outputs for your workflow.

What does /promptgenerator do?

Purpose: Reusable brief-to-prompt generator.

This is a custom prompt convention, not a built-in or official ChatGPT slash command. Entering the slash text alone does not guarantee that ChatGPT will invoke a special tool. Use the complete structured prompt below or configure your own app to interpret this shortcut.

Key decision for this workflow

Use /promptgenerator when the task is reusable brief-to-prompt generator; specify the evidence needed to accept the result.

Copy-ready task brief

/promptgenerator Objective: Reusable brief-to-prompt generator Inputs: Supply sample briefs, supported output types and non-negotiable constraints. Deliverable: Create an input schema, prompt assembly rules and two fully populated example outputs.

Reusable prompt template

/promptgenerator Objective: Reusable brief-to-prompt generator Available materials: Supply sample briefs, supported output types and non-negotiable constraints. Required output: Create an input schema, prompt assembly rules and two fully populated example outputs. Acceptance test: Test empty input, conflicting constraints and unsupported output types. Boundary: A generator should preserve user constraints instead of silently adding speculative details. Return the requested deliverable first, then a brief verification checklist and any unresolved questions.

How to use this shortcut

  1. Collect the source inputs: Supply sample briefs, supported output types and non-negotiable constraints.
  2. Run /promptgenerator with the copy-ready task brief above.
  3. Request the concrete output: Create an input schema, prompt assembly rules and two fully populated example outputs.
  4. Check the result: Test empty input, conflicting constraints and unsupported output types.

Quality checks and limitations

Acceptance criteria: Test empty input, conflicting constraints and unsupported output types. Limitation: A generator should preserve user constraints instead of silently adding speculative details.

Related tools and learning

Continue with the 35 prompt generators, the technical AI Guides, and the Image Guides for deeper examples.

/promptenhance/promptoptimize/promptanalyze/promptreverse/logo/mockup

Worked example and expected output

Input materials: Supply sample briefs, supported output types and non-negotiable constraints.

Requested result: Create an input schema, prompt assembly rules and two fully populated example outputs.

Acceptance test: Test empty input, conflicting constraints and unsupported output types.

Worked example: Build a reusable prompt for summarizing customer interviews

Illustrative deliverable: Return a role, input schema, synthesis steps, quote attribution rules and JSON output fields for themes, evidence and uncertainty.

Review and limitations

Test with contradictory interviews and missing speaker labels.

Worked workflow: Reusable brief-to-prompt generator

Scenario: Reusable brief-to-prompt generator

Inputs to provide: Supply sample briefs, supported output types and non-negotiable constraints.

Requested deliverable: Create an input schema, prompt assembly rules and two fully populated example outputs.

How to verify the result: Test empty input, conflicting constraints and unsupported output types.

Boundary to respect: A generator should preserve user constraints instead of silently adding speculative details.

Frequently asked questions

Is /promptgenerator an official ChatGPT command? No. It is a reusable custom shorthand from this catalog. Does it work without a plugin? You can copy the full prompt into an assistant; automatic slash-command routing requires application logic. Can the output be trusted without review? No. Review accuracy, safety, and suitability before use.