nestjs
Build enterprise-grade Node.js applications with NestJS framework, TypeScript, dependency injection, and modular architecture
Browse published AI skills maintained by pluginagentmarketplace. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
678Repository stars across indexed skills
1,622Repository forks
216Average repository stars per indexed skill
2Repository stars may repeat across skills from the same repository.
Build enterprise-grade Node.js applications with NestJS framework, TypeScript, dependency injection, and modular architecture
Implement robust error handling in Node.js with custom error classes, async patterns, Express middleware, and production monitoring
Implement secure JWT (JSON Web Token) authentication in Node.js applications with access/refresh tokens and role-based access control
Master asynchronous programming in Node.js with Promises, async/await, streams, and event-driven patterns for efficient non-blocking operations
Build GraphQL APIs with Node.js using Apollo Server, type definitions, resolvers, and real-time subscriptions
Work with MongoDB in Node.js using Mongoose ODM for schema design, CRUD operations, relationships, and advanced queries
Build production-ready RESTful APIs with Express.js including routing, middleware, validation, and error handling for scalable backend services
Optimize Node.js application performance with caching, clustering, profiling, and monitoring techniques
Master MongoDB find queries with filters, projections, sorting, and pagination. Learn query operators, comparison, logical operators, and real-world query patterns. Use when retrieving data from MongoDB collect...
Master MongoDB ACID transactions for multi-document operations. Learn session management, transaction mechanics, error handling, and production patterns. Guarantee data consistency across multiple operations.
Master MongoDB index creation and types. Learn single-field, compound, unique, text, geospatial, and TTL indexes. Optimize query performance dramatically with proper indexing.
Master MongoDB CRUD operations, document insertion, querying, updating, and deletion. Learn BSON format, ObjectId, data types, and basic operations. Use when working with documents, collections, and fundamental...
Master MongoDB aggregation pipeline for complex data transformations. Learn pipeline stages, grouping, filtering, and data transformation. Use when analyzing data, creating reports, or transforming documents.
Master MongoDB Atlas cloud setup, cluster configuration, security, networking, backups, and monitoring. Get production-ready cloud database in minutes. Use when setting up cloud MongoDB, configuring clusters, o...
Master MongoDB integration in applications with Node.js, Python, and Java drivers. Learn connections, transactions, error handling, and best practices. Use when building applications with MongoDB.
Master MongoDB schema design and data modeling patterns. Learn embedding vs referencing, relationships, normalization, and schema evolution. Use when designing databases, normalizing data, or optimizing queries...
Master MongoDB replication, replica sets, and sharding for distributed deployments. Learn failover, shard keys, and cluster management. Use when setting up high availability or scaling horizontally.
Master MongoDB authentication methods including SCRAM, X.509 certificates, LDAP, and Kerberos. Learn user creation, role assignment, and securing MongoDB deployments.
Master MongoDB indexing and query optimization. Learn index types, explain plans, performance tuning, and query analysis. Use when optimizing slow queries, analyzing performance, or designing indexes.
Master MongoDB security, authentication, authorization, encryption, and backup. Learn role-based access control, TLS/SSL, encryption, and disaster recovery. Use when securing deployments, managing users, or imp...
Production-grade ML model monitoring, drift detection, and observability
Master feature stores - Feast, data validation, versioning, online/offline serving
Master model serving - inference optimization, scaling, deployment, edge serving
Master ML experiment tracking - MLflow, W&B, Neptune, versioning, reproducibility
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.