Skip to content
MMake Prompt AI Get Started
Home > ChatGPT Guide > /database
Custom prompt shortcut / Software Development

/database — ChatGPT Prompt Guide

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

What does /database do?

Purpose: Worked scenario and review.

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 /database when the task is model a lending system for a community tool library; specify the evidence needed to accept the result.

Copy-ready task brief

/database Objective: Model a lending system for a community tool library Inputs: Item inventory, borrower accounts, checkout limits and overdue policy Deliverable: Normalized schema with members, items, loans and audit events

Reusable prompt template

/database Objective: Model a lending system for a community tool library Available materials: Item inventory, borrower accounts, checkout limits and overdue policy Required output: Normalized schema with members, items, loans and audit events Acceptance test: Check uniqueness, foreign keys and overlapping active loans for a single item Boundary: Schema design alone does not enforce authorization or backups Return the requested deliverable first, then a brief verification checklist and any unresolved questions.

How to use this shortcut

  1. Collect the source inputs: Item inventory, borrower accounts, checkout limits and overdue policy
  2. Run /database with the copy-ready task brief above.
  3. Request the concrete output: Normalized schema with members, items, loans and audit events
  4. Check the result: Check uniqueness, foreign keys and overlapping active loans for a single item

Quality checks and limitations

Acceptance criteria: Check uniqueness, foreign keys and overlapping active loans for a single item Limitation: Schema design alone does not enforce authorization or backups

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/searchintent/keywordgap

Worked example and expected output

Input materials: Item inventory, borrower accounts, checkout limits and overdue policy

Requested result: Normalized schema with members, items, loans and audit events

Acceptance test: Check uniqueness, foreign keys and overlapping active loans for a single item

Worked workflow: Model a lending system for a community tool library

Practical scenario: Model a lending system for a community tool library

Inputs to provide: Item inventory, borrower accounts, checkout limits and overdue policy

Requested deliverable: Normalized schema with members, items, loans and audit events

How to verify the result: Check uniqueness, foreign keys and overlapping active loans for a single item

Important limitation: Schema design alone does not enforce authorization or backups

Frequently asked questions

Is /database 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.

Worked scenario and review

Scenario: Design tables for a library book lending application.

Expected deliverable: Include books, members, loans, foreign keys, indexes and example queries.

Verification: Test overdue calculations and referential integrity.