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Database Design

Checked
vudovn·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 vudovn/ag-kit --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

vudovn

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 vudovn/ag-kit at 549ba3dc2e.

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

Commit
549ba3dc2e
Manifest
.agents/skills/database-design/SKILL.md
Scanned
8 files, 466 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 enables AI agents to generate optimized database schemas and design efficient data models tailored to specific application requirements. It assists in structuring relational or non-relational databases to ensure data integrity, scalability, and performance from the initial planning stages.

When to use it

  • Designing a new backend system where you need to define tables, columns, and relationships before writing code.
  • Refactoring an existing messy database schema to improve query performance and reduce redundancy.
  • Creating a proof-of-concept data model for a prototype application to validate architectural decisions quickly.
  • Generating SQL CREATE TABLE statements or ER diagrams based on high-level business logic descriptions.

Key capabilities

  • Generates normalized database schemas based on natural language requirements.
  • Defines primary keys, foreign keys, and relationship constraints automatically.
  • Supports design patterns for both relational (SQL) and NoSQL data structures.
  • Outputs ready-to-use SQL code snippets for immediate implementation.

Example prompts

  • "Design a PostgreSQL schema for an e-commerce platform with users, products, and orders."
  • "Create a normalized database structure for a social media app storing posts, comments, and user profiles."
  • "Generate an ER diagram and corresponding SQL tables for a task management system with hierarchical project structures."

Tips & gotchas

Ensure you provide clear context about the expected data volume and access patterns to get more optimized designs. While this skill generates robust schemas, always review the output for specific business logic nuances before deploying to production.