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OpenEvidence Performance Tuning

openevidence-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides tuning OpenEvidence clinical queries through streamlined prompts, dynamic caching, connection pooling, batching, and monitoring to meet latency targets and safeguard clinical response times.

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 Caching Strategy

openrouter-caching-strategy

jeremylongshore/claude-code-plugins-plus-skills

Implements response caching for OpenRouter to cut costs and latency, from simple LRU caches to semantic similarity reuse. Setup requires OpenRouter integration, caching infrastructure (Redis), testing and monitoring.

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.

Perplexity Observability Setup

perplexity-observability

jeremylongshore/claude-code-plugins-plus-skills

Implements observability for Perplexity integrations with latency, citation, and cost metrics plus dashboards and alerts so teams can monitor search performance, answer quality, and spend health.

Perplexity Reliability Patterns

perplexity-reliability-patterns

jeremylongshore/claude-code-plugins-plus-skills

Guides implementing Perplexity resilience with caching, model fallbacks, streaming timeouts, and citation checks to keep search‑augmented services fault tolerant under variable latency.

Pinecone Managed Vector DB

Orchestra-Research/AI-Research-SKILLs

Pinecone provides a fully managed, auto-scaling vector database with hybrid search, metadata filtering, and namespace isolation for low-latency production RAG, recommendation, and semantic search workloads.

PostHog Observability Suite

posthog-observability

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through setting up PostHog observability with ingestion health checks, flag latency tracking, billing-aware volume monitoring, alerts for anomalies, and dashboards for key metrics and API performance.

Prompt Guard Detector

Orchestra-Research/AI-Research-SKILLs

Meta’s Prompt Guard is an 86M-parameter classifier that spots prompt injections and jailbreak attempts before they reach LLMs, filtering user input, third-party data, or RAG documents with multilingual support and sub-2ms latency for fast deployments.

Python Performance Optimization

python-performance-optimization

sickn33/antigravity-awesome-skills

Profile and optimize Python applications with cProfile, memory profilers, and best practices to locate bottlenecks, tune CPU and memory usage, and improve latency in production workflows.

Qdrant Vector Search

qdrant-vector-search

Orchestra-Research/AI-Research-SKILLs

High-performance Rust-based vector similarity engine for production RAG and semantic search, enabling hybrid filtering, multi-vector storage, distributed scaling, and REST/gRPC access for low-latency recommendations and retrieval.

Replit Observability Toolkit

replit-observability

jeremylongshore/claude-code-plugins-plus-skills

Enables comprehensive observability for Replit integrations by collecting deployment metrics, latency traces, health checks, and alerts, plus dashboards for uptime, resource usage, AI feature adoption, and cost control.

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