test-plan-formatting
Format concise, actionable test plans for Jira tickets using existing fptest tools and minimal MongoDB operations
MongoDB Aggregation Pipeline Optimization
General MongoDB aggregation pipeline optimization techniques including early filtering, index usage, array operators vs $unwind, $lookup optimization, and performance debugging. Use when writing aggregation queries for ANY MongoDB project, debugging slow pipelines, or analyzing query performance. For M32RIMM-specific patterns, use mongodb-m32rimm-patterns skill.
databases
MongoDB and PostgreSQL database administration. Databases: MongoDB (document store, aggregation, Atlas), PostgreSQL (relational, SQL, psql). Capabilities: schema design, query optimization, indexing, migrations, replication, sharding, backup/restore, user management, performance analysis. Actions: design, query, optimize, migrate, backup, restore, index, shard databases. Keywords: MongoDB, PostgreSQL, SQL, NoSQL, BSON, aggregation pipeline, Atlas, psql, pgAdmin, schema design, index, query optimization, EXPLAIN, replication, sharding, backup, restore, migration, ORM, Prisma, Mongoose, connection pooling, transactions, ACID. Use when: designing database schemas, writing complex queries, optimizing query performance, creating indexes, performing migrations, setting up replication, implementing backup strategies, managing database permissions, troubleshooting slow queries.
backend-development
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems. | Sử dụng khi xây dựng API, server, backend, máy chủ, xử lý dữ liệu, endpoint, microservices.
databases
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queries and aggregations, optimizing indexes for performance, performing database migrations, configuring replication and sharding, implementing backup and restore strategies, managing database users and permissions, analyzing query performance, or administering production databases. | Sử dụng khi làm việc với cơ sở dữ liệu, database, SQL, query, truy vấn, schema, migration.
nosql-databases
MongoDB, Redis, Cassandra, DynamoDB, and distributed database patterns for scalable applications
mongodb
MongoDB fundamentals including document model, CRUD operations, querying, indexing, and aggregation framework for NoSQL database applications.
mongodb-transactions
Master MongoDB ACID transactions for multi-document operations. Learn session management, transaction mechanics, error handling, and production patterns. Guarantee data consistency across multiple operations.
mongodb-atlas-setup
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, or managing Atlas.
mongodb-replication-sharding
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.
mongodb-schema-design
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.
mongodb-find-queries
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 collections.
mongodb-crud-operations
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 MongoDB operations.
mongodb-index-creation
Master MongoDB index creation and types. Learn single-field, compound, unique, text, geospatial, and TTL indexes. Optimize query performance dramatically with proper indexing.
mongodb-app-development
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.
mongodb-indexing-optimization
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.
mongodb-security-admin
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 implementing compliance.
mongodb-authentication
Master MongoDB authentication methods including SCRAM, X.509 certificates, LDAP, and Kerberos. Learn user creation, role assignment, and securing MongoDB deployments.
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