db Schema

    2

    Turn plain English app descriptions into fully normalized SQL schemas and entity relationship documentation.

    $12

    30-day refund guarantee

    Secure checkout via Stripe

    0 installsSecurity scanned

    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+17 more

    See it in action

    You say

    Design a Postgres schema for an e-commerce catalog with products including slugs and categories. Ensure categories are linked and soft deletes are enabled.

    Your agent does

    -- schema.sql generated for Postgres CREATE TABLE products ( id BIGSERIAL PRIMARY KEY, slug VARCHAR(255) UNIQUE NOT NULL, price NUMERIC(10,2) NOT NULL, category_id BIGINT REFERENCES categories(id), deleted_at TIMESTAMP WITH TIME ZONE ); CREATE INDEX idx_products_category ON products(category_id);

    What you get

    Generate 3NF normalized SQL schemas from high-level app ideasCreate detailed SCHEMA.md manuals documenting all entity relationshipsAutomate the creation of junction tables for many-to-many relationshipsStandardize audit fields like soft-deletes and timestamps across all tablesImplement database-specific best practices for Postgres, MySQL, or SQLite

    About this skill

    What it does

    This skill transforms natural language requests into production-ready database architectures. It interprets high-level business requirements and automatically generates both the SQL DDL and comprehensive markdown documentation for your data layer.

    Problem it solves

    Designing a normalized database from scratch is time-consuming and prone to manual errors, such as missing indexes on foreign keys, inconsistent naming conventions, or improper data types for currency. This skill automates the drudgery of schema design while enforcing industry best practices from the start.

    Supported Tools

    • PostgreSQL: Default support with JSONB, BIGSERIAL, and automated updated_at triggers.
    • MySQL: Optimized with UNSIGNED types and AUTO_INCREMENT syntax.
    • SQLite: Lightweight syntax with CHECK constraints for enums.

    Why use this skill

    Unlike generic AI prompts, this skill applies strict 3rd Normal Form (3NF) logic, ensures every table includes audit timestamps and soft-delete support, and handles complex many-to-many junction tables automatically. It doesn't just give you code; it produces a professional SCHEMA.md directory of your entities and relationships for your team.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    30-day refund

    Not a fit? Get your money back

    Trust & safety

    Security scanned

    Verified clean 4 months ago

    • One-time purchase, yours forever

    Listed4 months ago

    Frequently Asked Questions