Supabase Relational Database Schema & RLS Policies
Ready-to-use Code prompt for Cursor, Claude, ChatGPT. Copy the prompt text, replace the placeholders with your details, and adjust the settings to match your project needs.
Design a ready-to-use Supabase (PostgreSQL) relational database schema for [App Concept, e.g. a multi-tenant document extraction SaaS with team billing]. Include: 1. UUIDv4 primary keys for all tables. 2. Row Level Security (RLS) policies enforcing strict tenant isolation: users can only SELECT, INSERT, UPDATE their own organization's records. 3. Atomic credit deduction stored procedure with row-level locking (`FOR UPDATE`) to prevent concurrency race conditions. 4. Auto-updating `updated_at` trigger. 5. Optimized indexes on foreign keys and frequently queried status columns.
Why Use This Prompt?
This prompt guides Cursor and Claude and ChatGPT to generate clean, production-grade PostgreSQL, Supabase, RLS, Database code tailored for supabase relational database schema & rls policies. It establishes strict architectural constraints—including proper error handling, modern framework conventions, and zero conversational filler. Developers can rapidly scaffold robust components, database schemas, or algorithmic utilities while maintaining code quality and maintainability.
Example Output
Example output generated by our AI community.
High-fidelity output preview rendered with Cursor, Claude, ChatGPT using verified syntax and parameters.
Tips for Better Results
Apply these recommended adjustments to tailor the generated output to your exact requirements:
- Customize Subjects & Placeholders: Swap out any bracketed terms (such as [Subject], [Product], or [Brand Name]) with your specific business or creative context to tailor the output.
- Define Output Format & Constraints: Specify your preferred delivery format (such as structured JSON, markdown tables, or concise bullet points) to keep responses focused and easy to parse.
- Provide Schema Anchors & Sample Data: Paste a brief 2-3 line example of your expected output format or sample input row in the chat to prevent hallucinations and enforce strict schema conformity.
Best AI Models for this Prompt
This prompt is tested and calibrated for optimal fidelity, lighting, and composition on:
High compatibility for code generation without distortion or generic artifacts.
High compatibility for code generation without distortion or generic artifacts.
High compatibility for code generation without distortion or generic artifacts.
Pro Prompt Engineering Tip
Ideal Use Case: Creating leak-proof multi-tenant database schemas with Supabase and row-level security.
How to Use This Prompt
Copy the Prompt
Click the "Copy Prompt" button above to grab the complete prompt text, lens parameters, aspect ratio flags, and lighting instructions in one click.
Paste & Generate in Your Target AI Model
Open your AI model (Cursor, Claude, ChatGPT), paste the prompt into the input bar, customize any bracketed placeholders with your project details, and hit generate.
Target Tools & Compatible Platforms
This prompt is crafted and verified for the following AI models and creative tools:
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