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Deepgram Performance Tuning

deepgram-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through audio preprocessing, connection pooling, model selection, streaming workflows, concurrency controls, and caching to accelerate Deepgram transcription and cut latency across large-scale pipelines.

FAISS Similarity Search

Orchestra-Research/AI-Research-SKILLs

FAISS is Facebook AI’s high-speed similarity search library for billion-scale dense vectors, offering multiple index types plus GPU acceleration to support latency-sensitive k-NN retrieval without metadata filtering.

Inference Latency Profiler

inference-latency-profiler

jeremylongshore/claude-code-plugins-plus-skills

Automates inference latency profiler tasks in ML deployment scenarios, offering step-by-step guidance on model serving, MLOps pipelines, monitoring, and production optimization, generating production-ready code and validating outputs against best practices.

LLM Observability Tracing

sickn33/antigravity-awesome-skills

Instrument Langfuse into LLM workflows to capture traces, metrics, prompt versions, and A/B test results, so you can monitor cost, latency, and quality alongside prompt-driven fixes.

Langfuse Observability Setup

langfuse-observability

jeremylongshore/claude-code-plugins-plus-skills

Set up comprehensive Langfuse observability with Prometheus metrics, Grafana dashboards, and AlertManager rules to monitor LLM operations, track latency, costs, and errors, and ensure integration health.

Mistral Observability Stack

mistral-observability

jeremylongshore/claude-code-plugins-plus-skills

Instrument Mistral AI clients, expose Prometheus metrics, configure alerts, and build Grafana dashboards to keep API usage, latency, cost, and errors in check.

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 Observability Setup

openevidence-observability

jeremylongshore/claude-code-plugins-plus-skills

Configure OpenEvidence clinical AI integrations with Prometheus metrics, OpenTelemetry tracing, structured logging, and Grafana dashboards so you can monitor health, latency, errors, cache behavior, and alerts.

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.

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.

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.

RetellAI Architecture Blueprints

retellai-architecture-variants

jeremylongshore/claude-code-plugins-plus-skills

Guides selecting and implementing Retell AI architecture blueprints from single webhook servers to event-driven voice pipelines, helping teams match scale, latency budgets, and state management when building or migrating voice agent integrations.

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