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mongodb-development

mongodb-development

github.com/mindrallyData & databases287895 installsUpdated 3w ago
Repository

About mongodb-development

A development skill for full-stack developers using MongoDB, Payload CMS, and Node.js. It provides TypeScript backend patterns spanning data modeling, APIs, security, and performance.

Key features

  1. 01Organize Payload CMS collections and globals
  2. 02MongoDB indexing and aggregation guidance
  3. 03Schema migration, validation, and transaction practices
  4. 04TypeScript typing and code quality conventions
  5. 05API security, caching, and pagination guidance

Use cases

  1. 01Design Payload CMS content models and collections
  2. 02Optimize MongoDB queries and paginate large datasets
  3. 03Build backend APIs with authentication, validation, and rate limiting

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/mindrally/skills --skill mongodb-development

After installing, type/mongodb-developmentin Claude Code to confirm it loaded.

Details

From the project README

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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