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Expert .NET Backend Architect Guide

dotnet-architect

sickn33/antigravity-awesome-skills

An expert guide for designing, building, and optimizing high-performance, enterprise-grade backend systems using the .NET ecosystem. Covers advanced C# features, ASP.NET Core microservices, data access patterns (EF Core/Dapper), Clean Architecture, DDD, and crucial performance considerations like caching and optimization. Ideal for architects needing to ensure scalable, maintainable, and testable production-ready APIs.

Mastering .NET Backend Architecture Patterns

dotnet-backend-patterns

sickn33/antigravity-awesome-skills

This skill guides the development of production-grade APIs, MCP servers, and enterprise backends using modern C#/.NET best practices. It covers essential architectural components such as dependency injection (DI), advanced caching strategies (e.g., Redis), data access optimization with EF Core/Dapper, and implementing resilience patterns, ensuring robust and scalable software design.

Elasticache Configuration Assistant

elasticache-config

jeremylongshore/claude-code-plugins-plus-skills

Guides AWS users through Elasticache configuration workflows, offering best-practice patterns, production-ready snippets, and validation checks whenever “elasticache config” is mentioned.

Error Handler Middleware

error-handler-middleware

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for implementing error handler middleware in backend services, covering Node.js, Python, Go, microservices, databases, caching, messaging, and architecture best practices with production-ready code and validation.

Optimize Evernote API Performance Tuning

evernote-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to boosting Evernote API integration performance and scalability. Techniques covered include implementing response caching (using Redis), performing metadata-only queries to minimize data transfer, batching multiple operations, and optimizing client connection management. Essential for building high-performance, reliable applications.

Evernote Integration Reference Architecture

evernote-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide providing production-ready architectural patterns for building scalable, maintainable, and reliable integrations with Evernote. This skill covers microservices design, multi-level caching strategies (e.g., Redis), robust synchronization processes using webhooks and message queues, and establishing data mirroring schemas for complex SaaS applications.

Exa Search Architecture Patterns Guide

exa-architecture-variants

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to implementing Exa neural search at various scales. This resource details three distinct architectures—Direct Search, Cached Search, and full RAG Pipeline—allowing developers to choose the optimal blueprint based on traffic volume, required latency, and complexity. Use this when designing scalable Exa integrations, from simple UI search to advanced AI-powered research agents.

Exa API Cost Optimization Strategies

exa-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to optimizing costs when using the Exa API. This skill teaches techniques like implementing query-level caching (LRU/Redis), strategically selecting search types (keyword vs. neural), query deduplication for batch jobs, and setting up usage monitoring and budget alerts. Use this when managing Exa billing or reducing API expenditure in RAG applications.

Exa Search Deployment Across Platforms

exa-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for deploying Exa-powered search APIs to production environments. This skill covers best practices for integrating Exa into Vercel Edge Functions, Docker containers, and Google Cloud Run. It includes detailed steps for secret management, implementing Redis caching for performance, and setting up health check endpoints, ensuring a robust and scalable production search solution.

Exa API Load Testing And Scaling

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide and toolkit for performing load testing, capacity planning, and implementing scaling strategies for Exa API integrations. It covers best practices for managing rate limits (QPS), using tools like k6, implementing caching (LRU), and optimizing search architectures for high-throughput, low-latency applications, such as RAG systems.

Multi-Environment Exa API Setup

exa-multi-env-setup

jeremylongshore/claude-code-plugins-plus-skills

This guide details how to configure and manage the Exa search API across development, staging, and production environments. It ensures API key isolation, implements environment-specific search limits, and provides strategies for cost control and performance optimization by utilizing caching layers like Redis. Essential for scalable, multi-stage deployments.

Monitoring Exa Search Performance Metrics

exa-observability

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide and code implementation for setting up observability, metrics, and alerting for Exa search integrations. This skill tracks crucial KPIs such as search latency (P50/P95), error rates, result usage, and cache hit ratios. It is essential for monitoring search quality, debugging performance bottlenecks, and managing API resource usage in production environments.

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