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Schema Designer

Checked
clidey·vlatest·database·Apache-2.0

Automatically designs relational database schemas from natural language descriptions, optimizing for efficiency and clarity.

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 clidey/whodb --skill schema-designer --full-depth -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

clidey

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 clidey/whodb at 11b4c2146e.

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

Commit
11b4c2146e
Manifest
cli/skills/schema-designer/SKILL.md
Scanned
2 files, 353 lines
Copies in repo
2 — all of them scanned
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

schema-designer

What it does

This skill enables AI agents to generate, modify, and validate database schemas based on natural language descriptions or specific requirements. It automates the structural design of data models, ensuring consistency and adherence to defined constraints without manual SQL drafting.

When to use it

  • Rapidly prototyping new database structures during the initial planning phase of a project.
  • Converting complex business logic or domain concepts into normalized relational tables.
  • Refactoring existing schemas to improve performance or support new feature requirements.
  • Validating proposed data models against specific integrity rules before implementation.

Key capabilities

  • Generates complete SQL CREATE TABLE statements from text prompts.
  • Defines primary keys, foreign keys, and column data types automatically.
  • Supports iterative schema evolution based on feedback or changing requirements.
  • Validates schema definitions for logical consistency and standard compliance.

Example prompts

  • "Create a PostgreSQL schema for an e-commerce platform with users, products, orders, and order items."
  • "Modify the existing user table to include a new 'subscription_tier' column with a default value of 'free'."
  • "Generate a normalized schema for a library management system that tracks books, authors, and borrowing history."

Tips & gotchas

Ensure you specify the target database dialect (e.g., PostgreSQL, MySQL) in your prompts to receive syntax-appropriate output. While the skill automates structure generation, always review generated foreign key relationships to ensure they accurately reflect your application's data flow logic.