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Database Design

Checked
pony-unicorn·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 pony-unicorn/ai-coding-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

pony-unicorn

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 pony-unicorn/ai-coding-kit at 8400a01b3d.

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

Commit
8400a01b3d
Manifest
.agents/skills/database-design/SKILL.md
Scanned
8 files, 463 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 schema definitions, including table structures and relationships based on a textual description of requirements. The agent will produce optimized designs considering data types and indexing strategies to ensure efficient querying.

When to use it

  • You need to design a database for a new application or system.
  • You want to optimize an existing database schema for better performance.
  • You're prototyping a data model before full implementation.
  • You require assistance in translating business requirements into a relational database structure.

Key capabilities

  • Generates SQL schema definitions.
  • Creates table structures with appropriate columns and data types.
  • Defines relationships between tables (e.g., foreign keys).
  • Suggests indexing strategies for improved query performance.

Example prompts

  • "Design a database to store customer order information, including customer details, products, and order items."
  • "Create a relational schema for managing a library's books, authors, and borrowers."
  • “I need a database design for tracking inventory in a warehouse.”

Tips & gotchas

The quality of the generated schema depends heavily on the clarity and completeness of your initial requirements. Providing detailed descriptions will yield more accurate and useful results.