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Database Schema Design

Checked
aj-geddes·vlatest·database·MIT

Helps with database, schema design, design as part of working with databases and data persistence workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add aj-geddes/useful-ai-prompts --skill database-schema-design -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

aj-geddes

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aj-geddes/useful-ai-prompts at 3f5182cfd7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3f5182cfd7
Manifest
skills/database-schema-design/SKILL.md
Scanned
7 files, 249 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to generate optimized database schemas based on natural language descriptions of data requirements. It translates abstract business rules and entity relationships into structured SQL definitions, ensuring efficient storage and retrieval strategies from the outset.

When to use it

  • Greenfield Projects: Define the entire data architecture for a new application before writing any backend code.
  • Legacy Migration: Analyze existing data flows to propose normalized schemas that reduce redundancy in outdated systems.
  • Prototype Validation: Quickly visualize how specific data entities (e.g., users, orders) relate to one another during the design phase.
  • Requirement Translation: Convert vague stakeholder requests like "we need to track inventory" into concrete table structures with appropriate keys and constraints.

Key capabilities

  • Generates normalized SQL schemas based on text prompts.
  • Identifies primary keys, foreign keys, and data types automatically.
  • Structures tables to minimize redundancy and improve query performance.
  • Adapts output to various SQL dialects (PostgreSQL, MySQL, etc.).

Example prompts

  • "Create a database schema for an e-commerce platform with users, products, and orders."
  • "Design a normalized schema for a social media app tracking posts, comments, and likes."
  • "Generate a SQL schema for a logistics system that tracks shipments, drivers, and delivery addresses."

Tips & gotchas

  • Provide clear context about the business domain to ensure the AI selects appropriate data types and relationships.
  • Always review generated schemas for specific edge cases or compliance requirements (e.g., GDPR fields) before deployment.