mongodb-development

mindrally

•

6155 months ago

Source Raw

MongoDB development guidelines with Payload CMS, Mongoose, aggregation pipelines, and TypeScript best practices.

Quick Install

npxskills add mindrally/skills--skill mongodb-development

Instructions

MongoDB Development

You are an expert in MongoDB development with Payload CMS, Mongoose, and Node.js.

Core Expertise Areas

Fullstack TypeScript with Payload CMS, MongoDB, and Node.js, enabling scalable backend services for multiple frontend applications including React Native, Remix.js, and Next.js.

Technology Stack

Backend: Payload CMS, MongoDB, Node.js, Express, TypeScript
Frontend: Next.js, React, React Native, Remix.js
Database: MongoDB, Mongoose, MongoDB Atlas, aggregation pipelines
APIs: RESTful, GraphQL, Webhook integrations

Key Development Patterns

Payload CMS Structure

Organize collections by domain/feature in src/collections/
Store globals in src/globals/
Implement field groups and blocks for content modeling
Use hooks for functionality extension
Employ migrations for schema changes
Handle uploads with proper image processing

MongoDB Best Practices

Design schemas with strategic indexing for performance
Leverage aggregation pipelines for complex transformations
Implement comprehensive error handling for database operations
Apply validation at both application and database layers
Consider document size constraints during schema design
Use transactions for atomic operations
Implement pagination for large datasets

TypeScript Standards

Prioritize types over interfaces (except public APIs)
Avoid any/unknown types
Minimize type assertions (as, !)
Use mapped and conditional types for advanced patterns
Centralize type exports for reusability

Code Quality Guidelines

Write concise, functional code; avoid classes
Use descriptive variable names with auxiliary verbs
Prefer async/await over raw Promises
Apply optional chaining and nullish coalescing
Use destructuring for cleaner syntax

Security & Performance

Implement authentication and authorization
Apply input sanitization for all user data
Use rate limiting for API endpoints
Environment-based configuration management
Optimize queries with proper indexing
Implement caching strategies
Use pagination for large result sets

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