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Adobe API Performance Optimization Guide

adobe-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for developers to optimize performance when integrating Adobe APIs (Firefly, PDF, Photoshop). Techniques covered include implementing token caching, parallelizing asynchronous job submissions, leveraging response caching (LRU), and optimizing connection handling to minimize latency and maximize throughput.

Implementing BambooHR API Rate Limiting

bamboohr-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide and utility for managing API interactions with BambooHR. It implements robust retry logic (with exponential backoff and jitter) to handle 503 and 429 rate limit errors. It also provides patterns for proactive optimization, such as queue-based throttling, batching data using custom reports, and utilizing incremental sync to maximize API throughput and reliability.

Bright Data Performance Tuning Strategies

brightdata-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide details advanced techniques for optimizing Bright Data API scraping performance. It covers implementing connection pooling, robust response caching layers (LRU Cache), and managing concurrent requests with backpressure control. Use this when facing slow API responses or requiring high-throughput, scalable data extraction.

Scaling Claude for High-Throughput Applications

clade-load-scale

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for scaling Claude usage in high-throughput, enterprise-level applications. Learn four advanced strategies, including Message Batches for bulk processing, using p-limit for concurrency control, managing rate limit tier upgrades, and selecting the optimal model (e.g., Haiku) to balance speed and quality.

Claude API Performance Optimization Guide

clade-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

This guide outlines advanced strategies to optimize latency and throughput when integrating Anthropic's Claude API. Learn critical techniques such as streaming responses, prompt caching, model selection (Haiku, Sonnet, Opus), and request parallelization, ensuring your applications provide a low-latency, high-performance user experience.

Anthropic Rate Limit Handling Guide

clade-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for managing Anthropic API rate limits (RPM, TPM). Learn how to interpret rate limit headers, implement robust backoff strategies (exponential backoff with jitter), and optimize throughput using techniques like message batching and prompt caching to ensure reliable, high-volume API calls.

Optimizing ElevenLabs TTS Performance

elevenlabs-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

This guide provides comprehensive techniques for optimizing ElevenLabs Text-to-Speech (TTS) performance. Learn how to reduce latency and maximize throughput by strategically selecting models (e.g., Flash vs. v3), implementing streaming endpoints (HTTP or WebSocket), and choosing optimal audio formats. It is essential for real-time conversational AI, IVR systems, and high-volume content generation.

ElevenLabs Rate Limiting And Quota Management

elevenlabs-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

A robust utility for managing API calls to ElevenLabs, handling complex rate limiting, concurrency queuing, and quota monitoring. It implements plan-aware concurrency controls (managing 'too_many_concurrent_requests') and exponential backoff strategies for system overloads ('system_busy'). This is essential for building reliable, high-throughput Text-to-Speech applications.

Framer API Rate Limiting and Retry Logic

framer-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Provides robust patterns for handling API rate limits, throttling, and connection errors when integrating with the Framer API. It covers implementing exponential backoff, retry mechanisms, batching large CMS writes, and debouncing plugin operations to ensure reliable and high-throughput API calls.

Tuning Glean Search Performance

glean-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Provides advanced best practices for optimizing Glean's enterprise search performance and scalability. Covers critical techniques such as implementing effective batch sizing, caching strategies, connection pooling, and robust rate limit management to significantly reduce search latency and maintain high-throughput indexing for massive, diverse datasets.

Hex API Performance Tuning Guide

hex-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

This guide provides techniques to significantly boost performance when integrating with the Hex API. It covers essential optimization strategies such as implementing LRU caching for project lists, running multiple independent jobs in parallel, and adopting adaptive polling intervals to manage API latency and resource usage effectively. Use this when facing slow data retrieval or requiring high-throughput data processing.

Optimize Klaviyo API Performance

klaviyo-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide provides advanced strategies for optimizing interactions with the Klaviyo API. It covers implementing response caching (LRU Cache), efficient cursor-based pagination, request batching using DataLoader, and controlling API concurrency. Use this when dealing with slow API responses, large datasets, or high-throughput integration requirements.

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