How does this skill improve MongoDB performance?

It identifies and corrects high-impact schema issues like unbounded arrays and document bloat that often lead to slow queries and high infrastructure costs.

Does this skill require a live database connection?

While it can analyze code and schema definitions statically, connecting a MongoDB MCP server allows the agent to verify actual data distribution and document sizes for more accurate advice.

Can I use this for SQL to MongoDB migrations?

Yes, it includes specific rules and decision frameworks to help transition from relational models to document-oriented patterns effectively.

What are the most critical anti-patterns it checks for?

It focuses on preventing unbounded arrays, bloated documents (>16KB), and excessive $lookup operations through strategic denormalization and referencing.

MongoDB Schema Design

Name: MongoDB Schema Design
Author: romiluz13

byromiluz13

•

数据库管理

Optimizes MongoDB data models using 30 high-impact rules to prevent performance bottlenecks and cost issues.

This skill provides a comprehensive framework for designing and auditing MongoDB schemas directly within your AI coding agent. It covers critical anti-patterns like unbounded arrays and bloated documents, essential relationship patterns, and advanced design strategies such as bucketing and extended referencing. By integrating with the MongoDB MCP server, it allows for real-time schema inference and data verification, ensuring that your data architecture follows industry best practices for scalability, performance, and cost-efficiency. It is an essential tool for developers migrating from SQL or building high-scale document-based applications.

主要功能

0130 prioritized rules covering anti-patterns, fundamentals, and relationships

02Advanced patterns for time-series, hierarchical, and polymorphic data

038 GitHub stars

04Decision framework for choosing between embedding and referencing data

05Real-time schema verification via MongoDB MCP server integration

06Automated JSON Schema validation generation and rollout strategies

使用场景

01Troubleshooting slow queries and performance issues caused by document bloat

02Implementing complex many-to-many or tree structures while maintaining the 16MB limit

03Migrating relational SQL databases to a performant MongoDB document model

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add romiluz13/mongodb-agent-skills mongodb-schema-design

For use in Claude.ai and ChatGPT

Download Skill