Skip to content
TrustedSkillsbeta
Back to all skills

Database Design

Checked
skillcreatorai·vlatest·database·MIT

Helps with database, 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 moizibnyousaf/ai-agent-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

skillcreatorai

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 skillcreatorai/ai-agent-skills at 6d95c788aa.

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

Commit
6d95c788aa
Manifest
skills/database-design/SKILL.md
Scanned
1 file, 161 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

The database-design skill enables AI agents to architect robust data structures, generate SQL schemas, and optimize query performance for specific application requirements. It translates business logic into efficient relational or non-relational database models tailored to your project's scale and complexity.

When to use it

  • Initial Architecture: Defining table structures, primary keys, and foreign key relationships during the early planning phase of a new data-driven application.
  • Schema Migration: Generating migration scripts to evolve existing databases while maintaining data integrity and minimizing downtime.
  • Query Optimization: Analyzing slow-performing database queries and rewriting them for better speed and resource utilization.
  • NoSQL Conversion: Designing document or graph-based schemas when transitioning from traditional relational models to handle unstructured data.

Key capabilities

  • Generates normalized SQL schemas based on entity-relationship diagrams (ERDs) or textual descriptions.
  • Creates indexes and constraints to enforce data integrity and improve retrieval speeds.
  • Designs flexible NoSQL structures for document stores like MongoDB or graph databases like Neo4j.
  • Produces migration scripts compatible with tools like Flyway or Liquibase.

Example prompts

  • "Design a normalized SQL schema for an e-commerce platform including users, products, orders, and inventory tables."
  • "Optimize this slow-performing SQL query that retrieves customer order history by adding appropriate indexes."
  • "Create a document-based NoSQL schema in JSON format to store social media posts with nested comments and likes."

Tips & gotchas

Ensure you provide clear context about data volume and access patterns, as these heavily influence whether normalization or denormalization is best. Always validate generated schemas against your specific database engine's syntax limitations before deployment.