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Documenso Performance Tuning

documenso-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Speed up Documenso integrations by combining caching, batching, queueing, pagination, and monitoring to slash response times, reduce API calls, and keep bulk document workflows reliable in production.

Dotnet Architect Expert

dotnet-architect

sickn33/antigravity-awesome-skills

Expert .NET backend architect guidance for C#, ASP.NET Core, Entity Framework, Dapper, caching, testing, and DevOps so teams can build production-grade APIs, microservices, and enterprise applications with clear patterns and performance best practices.

.NET Backend Pattern Mastery

dotnet-backend-patterns

sickn33/antigravity-awesome-skills

Covers modern C#/.NET backend patterns for building production-grade APIs, MCP servers, and enterprise services with DI, caching, resilience, and testing best practices.

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.

Evernote Performance Tuning

evernote-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Improves Evernote integration performance by applying response caching, batching, and connection pooling to reduce API calls and accelerate data retrieval for high-traffic applications.

Evernote Reference Architecture

evernote-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Offers production-ready reference architecture patterns for designing scalable, maintainable Evernote integrations, including microservices layout, cloud setups, messaging, caching, implementation steps, and scaling guidance.

Exa Data Handling Patterns

exa-data-handling

jeremylongshore/claude-code-plugins-plus-skills

Provides Exa neural search integrations with sensitive data handling, retention policy setup, result caching with TTL, citation deduplication, and token-budget aware processing so RAG apps comply with GDPR/CCPA.

Exa Deployment Guide

exa-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

Guides deploying Exa-powered neural search apps to production on Vercel, Fly.io, and Cloud Run, covering secret configuration, edge functions, Docker caching, health checks, and error mitigation so teams can automate safe launches.

Exa Multi Env Search

exa-multi-env-setup

jeremylongshore/claude-code-plugins-plus-skills

Configures Exa neural search API across development, staging, and production with per-environment API keys, caching, and query limits so teams can manage costs and reliability in multi-environment search pipelines.

Exa Performance Optimization

exa-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Optimizes Exa API calls with latency-aware search selection, caching, batching, and selective content retrieval so integrations hit throughput targets even under heavy load.

Exa Reference Architecture

exa-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Defines a best-practice layout for Exa neural search integrations, covering pipeline design, content extraction, embedding-based retrieval, caching, and RAG workflows for new integrations or architecture reviews.

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