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/nosql-database-design

Design NoSQL database schemas for MongoDB and DynamoDB. Use when modeling document structures, designing collections, or planning NoSQL data architectures.

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useful-ai-prompts
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Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill nosql-database-design --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/nosql-database-design

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Design NoSQL database schemas for MongoDB and DynamoDB. Use when modeling document structures, designing collections, or planning NoSQL data architectures.

SKILL.md

nosql-database-design.SKILL.md
name: nosql-database-design
description: >
  Design NoSQL database schemas for MongoDB and DynamoDB. Use when modeling
  document structures, designing collections, or planning NoSQL data
  architectures.

NoSQL Database Design

Table of Contents

  • [Overview](#overview)
  • [When to Use](#when-to-use)
  • [Quick Start](#quick-start)
  • [Reference Guides](#reference-guides)
  • [Best Practices](#best-practices)

Overview

Design scalable NoSQL schemas for MongoDB (document) and DynamoDB (key-value). Covers data modeling patterns, denormalization strategies, and query optimization for NoSQL systems.

When to Use

  • MongoDB collection design
  • DynamoDB table and index design
  • Document structure modeling
  • Embedding vs. referencing decisions
  • Query pattern optimization
  • NoSQL indexing strategies
  • Data denormalization planning

Quick Start

Minimal working example:

// Single document with embedded arrays
db.createCollection("users");

db.users.insertOne({
  _id: ObjectId("..."),
  email: "john@example.com",
  name: "John Doe",
  createdAt: new Date(),

  // Embedded address
  address: {
    street: "123 Main St",
    city: "New York",
    state: "NY",
    zipCode: "10001",
  },

  // Embedded array of items
  orders: [
    {
      orderId: ObjectId("..."),
      date: new Date(),
      total: 149.99,
    },
    {
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the `references/` directory:

| Guide | Contents | |---|---| | [Document Structure Design](references/document-structure-design.md) | Document Structure Design | | [Indexing in MongoDB](references/indexing-in-mongodb.md) | Indexing in MongoDB | | [Schema Validation](references/schema-validation.md) | Schema Validation | | [Table Structure](references/table-structure.md) | Table Structure | | [Global Secondary Indexes (GSI)](references/global-secondary-indexes-gsi.md) | Global Secondary Indexes (GSI) | | [DynamoDB Item Operations](references/dynamodb-item-operations.md) | DynamoDB Item Operations |

Best Practices

✅ DO

  • Follow established patterns and conventions
  • Write clean, maintainable code
  • Add appropriate documentation
  • Test thoroughly before deploying

❌ DON'T

  • Skip testing or validation
  • Ignore error handling
  • Hard-code configuration values
Read more
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488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.

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