Agent skill · data analytics · aj-geddes
nosql-database-design
Design NoSQL database schemas for MongoDB and DynamoDB. Use when modeling document structures, designing collections, or planning NoSQL data architectures.
Why this skill is useful
Provides specific NoSQL data modeling patterns and query optimization strategies for MongoDB and DynamoDB that the AI wouldn't reliably generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-03-04. 307 stars on the source repository.
What this skill does
NoSQL Database Design Table of Contents Overview When to Use Quick Start Reference Guides 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: Reference Guides Detailed implementations in the references/ directory: Guide Contents --- --- Document Structure Design Document Structure Design Indexing in MongoDB Indexing in MongoDB Schema Validation Schema Validation Table Structure Table Structure Global Secondary Indexes (GSI) Global Secondary Indexes (GSI) DynamoDB Item Operations 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
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aj-geddes/nosql-database-design