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LangChain Performance Tuning

langchain-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Step-by-step guidance for benchmarking LangChain apps, enabling caching, batching, streaming, and prompt/model tuning to cut latency, boost throughput, and improve resource use when a pipeline feels slow.

Langfuse Performance Tuning

langfuse-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides tuning Langfuse integrations for high-throughput apps, covering benchmarking, batching, non-blocking traces, payload trimming, and error handling to minimize latency and resource cost in production workloads.

LibFuzzer Coverage Fuzzing

trailofbits/skills

LibFuzzer is LLVM’s in-process coverage-guided fuzzer for C/C++ projects compiled with Clang, providing a quick harness-based setup that can later transition to more advanced fuzzers while maintaining reproducible, high-throughput testing.

Lindy Performance Tuning

lindy-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guide for diagnosing and improving Lindy AI agent execution speed, reducing latency, and boosting throughput via step consolidation, caching, and parallelization.

Linear Observability Setup

linear-observability

jeremylongshore/claude-code-plugins-plus-skills

Establish Prometheus-driven monitoring, structured JSON logging, health checks, and Grafana dashboards for Linear integrations to track request throughput, latency, rate limits, and webhooks while triggering alerts on issues.

Lokalise Performance Tuning

lokalise-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Optimize Lokalise API throughput with cursor pagination, caching, bulk key operations, throttling, and webhook-driven workflows to reduce latency and stay within rate limits during translation pipeline syncs.

Lokalise Rate Limits Handler

lokalise-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Implement graceful handling of Lokalise API rate limits by queuing requests, applying exponential backoff and monitoring headers so retry logic, throughput optimization, and failure recovery can coexist without overwhelming the service.

MaintainX Rate Control

maintainx-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Provides MaintainX API clients with resilient rate-limit handling, combining exponential backoff, request queuing, pagination, and monitoring so integrations gracefully retry 429s, honor Retry-After headers, and keep throughput optimized.

Enterprise Miles RL

miles-rl-training

Orchestra-Research/AI-Research-SKILLs

Guidance for training large multimodal MoE models with miles, covering FP8/INT4 quantization-aware regimes, train-inference alignment, speculative RL throughput tricks, and enterprise stability practices for production deployments.

Mistral Performance Tuning

mistral-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides teams on reducing latency and improving throughput when integrating Mistral AI by selecting low-latency models, enabling streaming, caching deterministic requests, trimming prompts, and managing request concurrency.

OpenEvidence Rate Limits

openevidence-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Controls OpenEvidence clinical API throughput by enforcing per-endpoint limits, prioritizing stat queries, and handling 429s with retries and backoff so latency-sensitive medical requests remain compliant and responsive.

OpenRouter Performance Tuning

openrouter-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides optimizing OpenRouter performance and latency through connection pooling, async processing, caching, and monitoring to reduce response times and improve throughput.

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