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Custom prompt shortcut / Software Development

/systemdesign — ChatGPT Prompt Guide

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

What does /systemdesign do?

Purpose: Design a photo-upload service for a community app.

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 /systemdesign when the task is design a public-library seat reservation service; specify the evidence needed to accept the result.

Copy-ready task brief

/systemdesign Objective: Design a public-library seat reservation service Inputs: Concurrent user estimate, room inventory, booking rules and recovery targets Deliverable: Component diagram, API contracts, data model and failure-mode table

Reusable prompt template

/systemdesign Objective: Design a public-library seat reservation service Available materials: Concurrent user estimate, room inventory, booking rules and recovery targets Required output: Component diagram, API contracts, data model and failure-mode table Acceptance test: Test double-booking, expired holds and retries under simulated concurrent requests Boundary: A diagram alone does not prove scalability or data consistency Return the requested deliverable first, then a brief verification checklist and any unresolved questions.

How to use this shortcut

  1. Collect the source inputs: Concurrent user estimate, room inventory, booking rules and recovery targets
  2. Run /systemdesign with the copy-ready task brief above.
  3. Request the concrete output: Component diagram, API contracts, data model and failure-mode table
  4. Check the result: Test double-booking, expired holds and retries under simulated concurrent requests

Quality checks and limitations

Acceptance criteria: Test double-booking, expired holds and retries under simulated concurrent requests Limitation: A diagram alone does not prove scalability or data consistency

Related tools and learning

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

/code/debug/refactor/codeaudit/socialmedia/emailmarketing

Worked example and expected output

Input materials: Concurrent user estimate, room inventory, booking rules and recovery targets

Requested result: Component diagram, API contracts, data model and failure-mode table

Acceptance test: Test double-booking, expired holds and retries under simulated concurrent requests

Worked example: Design a photo-upload service for a community app

Illustrative deliverable: Describe API endpoints, object storage, metadata database, upload signing, moderation queue and failure recovery.

Review and limitations

Estimate traffic assumptions and test permission boundaries.

Worked workflow: Design a public-library seat reservation service

Practical scenario: Design a public-library seat reservation service

Inputs to provide: Concurrent user estimate, room inventory, booking rules and recovery targets

Requested deliverable: Component diagram, API contracts, data model and failure-mode table

How to verify the result: Test double-booking, expired holds and retries under simulated concurrent requests

Important limitation: A diagram alone does not prove scalability or data consistency

Frequently asked questions

Is /systemdesign 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.