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Database Architect

Checked
herdiansah·vlatest·database

Designs, optimizes, and troubleshoots relational databases based on provided requirements and data models.

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 herdiansah/antigravity-skills-master --skill database-architect -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

herdiansah

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 herdiansah/antigravity-skills-master at f642a05f9c.

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

Scanned
1 file, 263 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 allows AI agents to design and architect database solutions. It can handle requirements gathering, schema design (including tables, columns, data types), and consideration of factors like scalability and performance. The agent can also generate SQL scripts for creating the database structure based on the defined architecture.

When to use it

  • New Project Setup: When starting a new software project that requires persistent data storage.
  • Database Redesign: To modernize or optimize an existing database schema for improved performance or functionality.
  • Data Migration Planning: To design the target database structure when migrating data from one system to another.
  • Proof of Concept: Quickly prototype a database architecture to validate ideas and requirements.

Key capabilities

  • Requirements gathering
  • Schema Design (tables, columns, data types)
  • Scalability considerations
  • Performance optimization
  • SQL script generation

Example prompts

  • "Design a database schema for an e-commerce platform that tracks products, customers, and orders."
  • "I need to migrate our legacy MySQL database to PostgreSQL. Can you design the new schema?"
  • "Create a database architecture for managing library books, authors, and borrowers, ensuring efficient searching capabilities."

Tips & gotchas

The agent's output is based on its understanding of database principles; review and validate generated SQL scripts before deployment. Providing clear and detailed requirements will lead to more accurate and useful database designs.