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Database Architecture

Checked
troykelly·vlatest·database

Designs efficient, scalable database architectures based on requirements, including schema design, indexing, and technology selection.

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 troykelly/claude-skills --skill database-architecture -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

troykelly

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 troykelly/claude-skills at 38a2ecc528.

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

Commit
38a2ecc528
Manifest
skills/database-architecture/SKILL.md
Scanned
1 file, 521 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 analyze database architectures. It can help determine appropriate data models, schema designs, and storage solutions based on specific requirements. The agent can also evaluate existing database structures for potential improvements or optimizations.

When to use it

  • New Application Development: When designing the backend for a new application requiring persistent data storage.
  • Database Migration: Planning and executing migrations between different database systems (e.g., relational to NoSQL).
  • Performance Optimization: Identifying bottlenecks in existing databases and suggesting architectural changes for improved performance.
  • Data Modeling: Creating logical and physical data models based on business requirements.

Key capabilities

  • Database design recommendations
  • Schema creation assistance
  • Storage solution evaluation
  • Data model analysis

Example prompts

  • "Design a database schema for an e-commerce platform, including tables for products, customers, and orders."
  • "Evaluate the current database architecture of our inventory management system. What are potential bottlenecks?"
  • "What are the pros and cons of using a relational versus a NoSQL database for storing user profiles?"

Tips & gotchas

The agent's recommendations will be based on general best practices; specific implementation details may require further refinement by a database administrator. Providing clear requirements and context is crucial for accurate results.