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Exa Architecture Variants

exa-architecture-variants

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through choosing and implementing validated Exa deployment architectures—from direct search to cached semantic layers and RAG pipelines—so integrations scale from simple apps to high-query, AI-enhanced solutions.

FastAPI ML Endpoint

fastapi-ml-endpoint

jeremylongshore/claude-code-plugins-plus-skills

Automates FastAPI ML endpoint deployments by guiding architecture, producing production-ready code, and validating serving configs when you invoke the ML deployment skill.

Fine-Tuning LLM Expert

fine-tuning-expert

Jeffallan/claude-skills

Hands-on guide for tuning large language models via LoRA/QLoRA/PEFT, covering dataset prep, hyperparameter config, adapter training, evaluation, and production deployment with quantization best practices.

Flask ML API Creator

flask-ml-api-creator

jeremylongshore/claude-code-plugins-plus-skills

Automates Flask-based machine learning API deployment by guiding you through best practices, generating production code/configurations, and validating outputs for serving, monitoring, and MLOps pipelines.

Genkit Production Workflow

genkit-production-expert

jeremylongshore/claude-code-plugins-plus-skills

Guides building production Firebase Genkit apps with RAG flows, multi-step tooling, schema validation, and deployment via Firebase Functions or Cloud Run, including AI monitoring and error-handling best practices.

GPU Resource Optimizer

gpu-resource-optimizer

jeremylongshore/claude-code-plugins-plus-skills

Automates GPU resource optimization for ML deployments by guiding best practices, generating production-ready configurations, and validating setups for model serving, MLOps pipelines, and monitoring.

Groq Multi-Environment Config

groq-multi-env-setup

jeremylongshore/claude-code-plugins-plus-skills

Sets up Groq LLM API clients for development, staging, and production tiers with tailored models, retries, and rate-limit handling so deployments stay aligned with each environment’s speed and cost profile.

Groq Reference Architecture

groq-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Defines best-practice Groq deployment with tiered model routing, middleware, streaming pipelines, and fallback chains for ultra-fast LLM inference and production monitoring when launching new Groq integrations.

Half Quadratic Quantization

hqq-quantization

Orchestra-Research/AI-Research-SKILLs

Calibrate-free half-quadratic quantization for LLMs that delivers 1-8 bit model compression with configurable backends (PyTorch, TorchAO, BitBlas, Marlin). Ideal for fast quantization workflows, zero-data deployment, and PEFT/LoRA fine-tuning with HuggingFace or vLLM stacks.

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.

Kling AI Content Compliance

klingai-content-policy

jeremylongshore/claude-code-plugins-plus-skills

Guides implementing Kling AI content-policy compliance with prompt screening, moderation checks, violation handling, and documentation to ensure generated responses stay within safety guidelines for production deployments.

KlingAI Team Setup

klingai-team-setup

jeremylongshore/claude-code-plugins-plus-skills

Guides administrators through configuring Kling AI for teams, covering organization creation, shared API key management, role-based permissions, quota settings, and usage monitoring for collaborative deployments.

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