Caching
Caching strategies and implementation
system-design
by miles990
Scalability, availability, and distributed systems design
database
by miles990
Database design, SQL, NoSQL, and data management patterns
role-architect:scalability-analysis
by rnavarych
Scalability analysis expertise including horizontal vs vertical scaling, sharding strategies, read/write splitting, eventual consistency patterns, CQRS for scale, back-of-envelope calculations, and caching layer design.
role-database:capacity-planning
by rnavarych
Database capacity and growth planning. Storage growth estimation, IOPS requirements, memory sizing (buffer pool, shared_buffers), connection count estimation, sharding triggers, read replica scaling, cost estimation per cloud provider. Load testing (pgbench, sysbench, YCSB, HammerDB). When to shard vs scale up vs read replicas. Use when planning database capacity, sizing infrastructure, or evaluating scaling strategies.
mcp-architecture
by jpoutrin
MCP architecture patterns, security, and memory management. Auto-loads when building MCP servers, implementing tools/resources, discussing MCP security, or working with FastMCP.
role-database:backup-recovery
by rnavarych
Backup strategies and disaster recovery across all database engines. Full, incremental, differential backups. PITR (Point-in-Time Recovery). PostgreSQL (pg_dump, pgBackRest, Barman, WAL archiving), MySQL (mysqldump, XtraBackup, Clone Plugin), MongoDB (mongodump, Atlas backup), Redis (RDB, AOF). RPO/RTO planning, backup verification, cloud-native backup. Use when designing backup strategies, implementing disaster recovery, or troubleshooting data recovery.
cache_patterns
by vuralserhat86
Instruction set for enabling and operating the Spring Cache abstraction in Spring Boot when implementing application-level caching for performance-sensitive workloads.
context_engineering
by vuralserhat86
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.
java-jpa-hibernate
by pluginagentmarketplace
Master JPA/Hibernate - entity design, queries, transactions, performance optimization
java-gradle
by pluginagentmarketplace
Master Gradle - Kotlin DSL, task configuration, build optimization, caching
alibaba-cloud
by DauQuangThanh
Provides comprehensive Alibaba Cloud (Aliyun) guidance including ECS, ApsaraDB, OSS, SLB, VPC, RAM, ACK (Kubernetes), Function Compute, API Gateway, CDN, and monitoring services. Covers infrastructure provisioning with Terraform/ROS, cloud architecture design, security best practices, cost optimization, and migration strategies. Produces infrastructure code, deployment scripts, architecture diagrams, and operational procedures. Use when working with Alibaba Cloud services, designing cloud architecture on Aliyun, migrating to Alibaba Cloud, setting up Chinese cloud infrastructure, implementing multi-region deployments in China, or when users mention Alibaba Cloud, Aliyun, ECS, OSS, ApsaraDB, ACK, RDS, SLB, or Chinese cloud computing.
docker
by oakoss
Docker containerization for development and production. Covers Dockerfiles, multi-stage builds, layer caching, Compose services, networking, volumes, health checks, security hardening, and production deployment patterns. Use when writing Dockerfiles, optimizing image size, configuring Compose services, debugging container networking, setting up health checks, hardening containers for production, or troubleshooting build cache issues.
artifact-janitor
by YuniorGlez
"Senior Build Cleanup & System Optimization Specialist. Expert in reclaiming disk space and resolving build corruption in 2026 ecosystems."
next16-expert
by YuniorGlez
"Senior specialist in Next.js 16.1.1, React 19.2, and Gemini Elite Standards. Focus on Proxy & Cache paradigm and PPR."
backend-annotations
by xu-cell
后端高级注解使用指南。包含 @RateLimiter、@RepeatSubmit、@Sensitive、@EncryptField、@ApiEncrypt、@DataPermission 等注解的用法。 触发场景： - 配置接口限流（@RateLimiter） - 配置防重复提交（@RepeatSubmit） - 配置数据脱敏（@Sensitive） - 配置字段加密（@EncryptField） - 配置接口加密（@ApiEncrypt） - 配置数据权限注解（@DataPermission） 触发词：注解、@RateLimiter、@RepeatSubmit、@Sensitive、@EncryptField、@ApiEncrypt、@DataPermission、@DataColumn、限流、防重复、脱敏、加密、数据权限注解
backend-patterns
by peopleforrester
Common backend development patterns for APIs, databases, caching, and service architecture. Language-agnostic principles with examples in Python, TypeScript, and Go.
Performance Optimizer
by daffy0208
Optimize application performance and scalability. Use when investigating slow applications, scaling bottlenecks, or improving response times. Covers profiling, caching, database optimization, and frontend performance.
building-tauri-with-github-actions
by dchuk
Guides users through setting up Tauri GitHub Actions CI/CD pipelines and workflows for automated building, testing, and releasing cross-platform desktop applications.
broker-configurations
by vanman2024
Message broker setup patterns (Redis, RabbitMQ, SQS) for Celery including connection strings, SSL configuration, high availability, and production best practices. Use when configuring message brokers, setting up Redis/RabbitMQ/SQS, troubleshooting broker connections, implementing HA/failover, securing broker communications with SSL, or when user mentions broker setup, connection issues, sentinel, quorum queues, or AWS SQS integration.
result-backend-patterns
by vanman2024
Result backend configuration patterns for Celery including Redis, Database, and RPC backends with serialization, expiration policies, and performance optimization. Use when configuring result storage, troubleshooting result persistence, implementing custom serializers, migrating between backends, optimizing result expiration, or when user mentions result backends, task results, Redis backend, PostgreSQL results, result serialization, or backend migration.
queue-patterns
by vanman2024
BullMQ queue configuration patterns including connection pooling, job options, rate limiting, and TypeScript types. Use when setting up queues or configuring job behavior.
spaces-storage
by vanman2024
DigitalOcean Spaces (S3-compatible) object storage patterns
managed-databases
by vanman2024
DigitalOcean Managed Database provisioning and connection patterns
Knack Cache Optimizer
by willsigmon
Caches API results and enforces Knack's 10-requests-per-second rate limit. Critical for dashboard performance and cost reduction.