# Jeremylongshore Claude Code Plugins Plus Skills Nosql Data Modeler > Overview - Skill: `tomevault-io/jeremylongshore-claude-code-plugins-plus-skills-nosql-data-m` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/jeremylongshore-claude-code-plugins-plus-skills-nosql-data-m` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/jeremylongshore-claude-code-plugins-plus-skills-nosql-data-m/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/jeremylongshore-claude-code-plugins-plus-skills-nosql-data-m --- ## Overview This skill facilitates the design of efficient NoSQL data models, providing guidance on schema creation, denormalization strategies, and query optimization for document and key-value databases. It helps users translate their data requirements into production-ready NoSQL implementations. ## How It Works 1. **Identify Database Type**: Determines the target NoSQL database (e.g., MongoDB, DynamoDB). 2. **Analyze Data Requirements**: Understands the data entities, attributes, and relationships. 3. **Design Data Model**: Creates a NoSQL data model based on the identified database type and data requirements, considering embedding vs. referencing and access patterns. 4. **Suggest Schema Definition**: Provides a schema definition or table structure based on the designed data model. ## When to Use This Skill This skill activates when you need to: - Design a new NoSQL database schema. - Optimize an existing NoSQL data model for performance. - Translate relational data models to NoSQL. - Choose appropriate sharding keys for a NoSQL database. - Generate MongoDB or DynamoDB schema definitions. ## Examples ### Example 1: Designing a MongoDB Schema for an E-commerce Application User request: "Design a MongoDB schema for an e-commerce application, focusing on products and customers." The skill will: 1. Analyze the data requirements for products and customers, considering attributes like product name, price, description, customer ID, name, and address. 2. Design a MongoDB schema with embedded product reviews and customer order history, optimizing for common query patterns. ### Example 2: Creating a DynamoDB Table for a Social Media Platform User request: "Create a DynamoDB table for storing social media posts, considering high read and write throughput." The skill will: 1. Analyze the data requirements for social media posts, considering attributes like user ID, timestamp, content, and likes. 2. Design a DynamoDB table with appropriate primary and secondary indexes for efficient querying based on user ID and timestamp. ## Best Practices - **Denormalization**: Embed related data when reads are more frequent than writes. - **Access Patterns**: Optimize the data model for the most common query patterns. - **Sharding**: Choose sharding keys that distribute data evenly across shards. ## Integration This skill can be integrated with other plugins for generating code based on the designed data model, such as generating MongoDB queries or DynamoDB API calls. --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/jeremylongshore) — claim your Tome and manage your conversions.