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Database Schema Designer

Checked
onewave-ai·vlatest·database·MIT

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

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 onewave-ai/claude-skills --skill database-schema-designer -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

onewave-ai

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 onewave-ai/claude-skills at f317e08649.

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

Scanned
5 files, 449 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

The database-schema-designer skill enables AI agents to automatically generate, validate, and optimize database schemas based on natural language requirements or existing data models. It streamlines the development workflow by translating abstract concepts into structured SQL definitions ready for implementation.

When to use it

  • Rapidly prototype database structures during the initial planning phase of a new application.
  • Convert high-level business requirements into normalized relational tables without manual coding.
  • Validate schema integrity and suggest optimizations for performance or data consistency.
  • Generate migration scripts when evolving an existing database architecture.

Key capabilities

  • Automatic table, column, and relationship generation from text descriptions.
  • Support for common SQL dialects including PostgreSQL, MySQL, and SQLite.
  • Real-time validation of foreign key constraints and data types.
  • Export functionality for direct integration into development environments.

Example prompts

"Create a normalized schema for an e-commerce platform with users, orders, and products." "Design a database structure to track employee attendance and generate weekly reports." "Optimize the following schema for faster query performance on large datasets: [insert schema]"

Tips & gotchas

Ensure your natural language descriptions are detailed enough to capture necessary relationships and constraints. While the tool automates much of the design process, complex business logic may still require manual review to ensure alignment with specific application needs.