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Database Schema Designer

Checked
cachemoney·vlatest·database·MIT

Helps with database, schema 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 cachemoney/agent-toolkit --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

cachemoney

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 cachemoney/agent-toolkit at f9cea03dc9.

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

Commit
f9cea03dc9
Manifest
skills/database-schema-designer/SKILL.md
Scanned
4 files, 960 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 designs database schemas based on provided descriptions. It can handle complex data relationships and generate SQL code for creating tables, defining primary keys, and establishing foreign key constraints. The output is a complete schema definition ready to be implemented in a relational database system.

When to use it

  • You need to design the structure of a new database for an application.
  • You want to refactor or optimize an existing database schema.
  • You're prototyping a data model and require a quick, functional schema definition.
  • You have a complex set of data requirements and need assistance translating them into a relational database design.

Key capabilities

  • Generates SQL code for table creation.
  • Defines primary keys.
  • Establishes foreign key constraints.
  • Handles complex data relationships.

Example prompts

  • "Design a database schema for an online bookstore, including tables for books, authors, and customers."
  • “Create a relational database schema to manage student enrollment in courses.”
  • "Generate SQL code for a database tracking inventory levels of products in a warehouse."

Tips & gotchas

The quality of the generated schema depends heavily on the clarity and completeness of your input description. Providing detailed information about data types, relationships, and constraints will yield better results.