mongodb-patterns

Design, optimize, and validate MongoDB schemas and queries.

7|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/Jonathan0823/opencode-config --skill mongodb-patterns
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mongodb-patterns
Source: https://github.com/Jonathan0823/opencode-config/tree/main/skills/mongodb-patterns
Command: npx skills add https://github.com/Jonathan0823/opencode-config --skill mongodb-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides structured guidance for designing robust MongoDB schemas, choosing between embedding and referencing, validating data, and optimizing indexes and queries for production workloads.

Core Features & Use Cases

  • Schema Design Guidance: Recommendations on embedding vs referencing, document sizing, and data locality.
  • Indexing & Validation: Best practices for schema validation, indexes (single-field, compound, text, TTL, partial), and query patterns.
  • Use Case Scenarios: Applying patterns to typical applications (e-commerce catalogs, user profiles, orders) to achieve scalable reads and writes.

Quick Start

Review the patterns and apply them to your MongoDB deployment: start by modeling a simple collection with validation, create appropriate indexes, and run representative read/write queries to validate performance.

Frequently Asked Questions about mongodb-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a MongoDB schema for production workloads?

Apply schema design patterns by evaluating embedding versus referencing, managing document sizing, and ensuring data locality to achieve scalable reads and writes for production workloads.

When should I use embedding versus referencing in MongoDB data modeling?

Use embedding for data locality and fewer queries, or referencing to avoid unbounded document growth, balancing read and write patterns for your specific application domain.

What are the best indexing strategies for optimizing MongoDB queries?

Select single-field, compound, text, TTL, or partial indexes tailored to your query shapes to improve read performance and enforce schema validation rules.

How do I model an e-commerce catalog and orders in MongoDB?

Apply practical schema patterns to e-commerce catalogs and orders to achieve scalable reads and writes across typical application domains like user profiles and transactions.

Does this MongoDB schema design guidance include transactional patterns?

Yes, the guidance codifies concrete requirements for transactional patterns, schema validation, index selection, and aggregation workflows that can be implemented directly in MongoDB.