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Database Design

Checked
dauquangthanh·vlatest·database·MIT

Helps with database, 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 dauquangthanh/hanoi-rainbow --skill database-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

dauquangthanh

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 dauquangthanh/hanoi-rainbow at 0e2ebaea02.

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

Scanned
8 files, 822 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 assists in designing relational databases. It can generate SQL schemas based on textual descriptions of data requirements, ensuring proper relationships and data types are defined. The tool aims to streamline the database creation process by translating natural language into structured database designs.

When to use it

  • You need a database schema for a new application or project.
  • You have a description of data entities and their relationships but lack experience in designing relational databases.
  • You want to quickly prototype different database structures before committing to a final design.
  • You are refactoring an existing database and require assistance in optimizing the structure.

Key capabilities

  • Generates SQL schemas from textual descriptions.
  • Defines relationships between data entities (one-to-many, many-to-many).
  • Suggests appropriate data types for columns.

Example prompts

  • "Create a database schema for an online bookstore with tables for books, authors, and customers."
  • "Design a database to track student enrollment in courses, including information about students, courses, and instructors."
  • “I need a database design for managing inventory of products in a retail store.”

Tips & gotchas

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