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Custom prompt shortcut / Software Development

/refactor — ChatGPT Prompt Guide

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

What does /refactor do?

Purpose: Practical case study: Refactor a long JavaScript function.

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

compare outputs for quoted commas, blank fields and Unicode.

Copy-ready task brief

/refactor Objective: Refactor a Python CSV parser without changing outputs. Inputs: current function, fixture CSVs and expected exceptions. Deliverable: small refactor patch with behavior-preserving tests.

Reusable prompt template

/refactor Objective: Refactor a Python CSV parser without changing outputs. Available materials: current function, fixture CSVs and expected exceptions. Required output: small refactor patch with behavior-preserving tests. Acceptance test: compare outputs for quoted commas, blank fields and Unicode. Boundary: Flag missing information and unverified assumptions; do not fabricate evidence. Return the requested deliverable first, then a brief verification checklist and any unresolved questions.

How to use this shortcut

  1. Collect the source inputs: current function, fixture CSVs and expected exceptions.
  2. Run /refactor with the copy-ready task brief above.
  3. Request the concrete output: small refactor patch with behavior-preserving tests.
  4. Check the result: compare outputs for quoted commas, blank fields and Unicode.

Quality checks and limitations

Acceptance criteria: compare outputs for quoted commas, blank fields and Unicode. If inputs are incomplete, mark assumptions and verify the result before deployment.

Related tools and learning

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

/code/debug/codeaudit/frontend/contentcalendar/channelstrategy

Worked example and expected output

Input materials: current function, fixture CSVs and expected exceptions.

Requested result: small refactor patch with behavior-preserving tests.

Acceptance test: compare outputs for quoted commas, blank fields and Unicode.

Practical case study: Refactor a long JavaScript function

Starting brief: Function handles form validation, prompt assembly and DOM updates in one block.

Expected deliverable: Propose separation into pure validation, formatting and UI adapter functions with tests.

Quality gate: Preserve behavior and public interfaces before optimizing.

/refactor
Task: Refactor a long JavaScript function.
Input: Function handles form validation, prompt assembly and DOM updates in one block.
Deliverable: Propose separation into pure validation, formatting and UI adapter functions with tests.
Review: Preserve behavior and public interfaces before optimizing.

Applied workflow and review criteria

Real-world task: Refactor a Python CSV parser without changing outputs.

Required inputs: current function, fixture CSVs and expected exceptions.

Deliverable to request: small refactor patch with behavior-preserving tests.

How to validate the result: compare outputs for quoted commas, blank fields and Unicode.

Scope and limitation: Avoid mixing behavior changes into a pure refactor.

Frequently asked questions

Is /refactor 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.