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Database Design

Listed
sickn33·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 sickn33/agentic-awesome-skills --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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Scanned
0 files
Copies in repo
3 — 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

What it does

The database-design skill enables AI agents to create, structure, and optimize relational and non-relational databases. It supports tasks like defining schema models, establishing relationships between tables, and ensuring data integrity through constraints.

When to use it

  • Designing a new database for an application or system
  • Migrating legacy data into a structured format
  • Optimizing existing database performance for faster queries
  • Creating ER diagrams or SQL scripts based on user requirements

Key capabilities

  • Schema modeling and normalization
  • Support for relational and NoSQL databases
  • Generation of SQL scripts
  • Data integrity enforcement through constraints
  • Entity-relationship diagram creation

Example prompts

  • "Design a database schema for an online store with products, customers, and orders."
  • "Generate an ER diagram for a university management system."
  • "Optimize this SQL query to improve performance on a large dataset."

Tips & gotchas

  • Ensure you provide clear requirements or use cases to get accurate designs.
  • While the skill supports multiple database types, results may vary depending on the specific dialect (e.g., MySQL vs PostgreSQL).