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Database Designer

Checked
aidotnet·vlatest·database·MIT

Designs efficient and optimized relational databases based on provided data models and requirements using best practices.

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 aidotnet/moyucode --skill database-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

aidotnet

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 aidotnet/moyucode at 9fa0412ff1.

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

Commit
9fa0412ff1
Manifest
skills/community/database-designer/SKILL.md
Scanned
1 file, 121 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

The aidotnet-database-designer skill allows AI agents to design relational databases based on textual descriptions. It can generate SQL scripts, including table schemas with appropriate data types and constraints. The tool aims to automate the initial database creation process, reducing manual effort for developers.

When to use it

  • You need a database schema created from a natural language description of requirements.
  • You're prototyping a new application and want to quickly generate an initial database structure.
  • You’re refactoring existing data models and require assistance in translating changes into SQL.
  • You are teaching students about relational databases and want a tool to demonstrate schema creation.

Key capabilities

  • Generates SQL scripts for creating tables.
  • Defines table schemas with appropriate data types.
  • Creates constraints (e.g., primary keys, foreign keys).
  • Designs based on textual descriptions of database requirements.

Example prompts

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

Tips & gotchas

The quality of the generated schema depends heavily on the clarity and completeness of the input description. Provide detailed information about entities, attributes, and relationships for optimal results.