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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.

Fastify Plugin Creator

fastify-plugin-creator

jeremylongshore/claude-code-plugins-plus-skills

Automates fastify plugin creation within backend development workflows by guiding through best practices, generating production-ready code, and validating configurations for microservices, caching, and database integrations.

Firebase Architecture and Best Practices

sickn33/antigravity-awesome-skills

This comprehensive skill guides developers beyond basic implementation, covering advanced topics essential for robust and scalable Firebase applications. It focuses on preventing common pitfalls such as security breaches, runaway costs, and inefficient data querying. Key areas include designing robust security rules, optimizing Firestore data models for complex queries, and implementing modular SDK usage.

FireCrawl Architecture Options

firecrawl-architecture-variants

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through FireCrawl deployment blueprints—on-demand, scheduled, and real-time pipelines—covering when to use each architecture, error handling, and implementation snippets for async HTTP and queued crawls.

Firecrawl Cost Tuning

firecrawl-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides optimizing Firecrawl scraping expenses by selecting the right tiers, bounding crawl jobs, caching repeated scrapes, minimizing formats, and monitoring usage for billing analysis and budget alerts.

FireCrawl Migration Strategy

firecrawl-migration-deep-dive

jeremylongshore/claude-code-plugins-plus-skills

Guides engineering teams through executing FireCrawl migrations with a strangler fig approach, covering assessment, adapters, data migration batches, traffic shift, rollback and validation for major upgrades.

FireCrawl Performance Tuning

firecrawl-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides optimizing FireCrawl API latency using caching, batching, connection pooling, and monitoring to improve throughput for integrations experiencing slow responses.

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