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Azure ML Deployer

azure-ml-deployer

jeremylongshore/claude-code-plugins-plus-skills

Automates Azure ML Deployer workflows by offering best-practice guidance, code/config generation, and validation for serving, MLOps pipelines, monitoring, and production optimization.

Azure ML Deployer

azure-ml-deployer

jeremylongshore/claude-code-plugins-plus-skills

Automates Azure ML Deployer workflows by offering best-practice guidance, code/config generation, and validation for serving, MLOps pipelines, monitoring, and production optimization.

Canary Deployment Setup

canary-deployment-setup

jeremylongshore/claude-code-plugins-plus-skills

Provides automated guidance for setting up canary deployments in ML production environments, covering model serving, MLOps pipelines, monitoring, and configuration validation.

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.

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.

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.

Machine Learning Pipeline - Multi-Agent MLOps Orchestration

machine-learning-ops-ml-pipeline

sickn33/antigravity-awesome-skills

Design and implement a complete ML pipeline for: $ARGUMENTS

Production ML Engineering Playbook

sickn33/antigravity-awesome-skills

Guides ML engineers in building production-ready systems with PyTorch 2.x, TensorFlow, and modern tooling, covering serving pipelines, feature engineering, monitoring, and MLOps infrastructure for scalable, reliable deployments.

MLOps Pipeline Orchestration

ml-pipeline-workflow

sickn33/antigravity-awesome-skills

Guides engineers through end-to-end MLOps pipeline orchestration, covering data ingestion, preparation, training, validation, deployment, and monitoring with DAG-based automation and best practices.

Modern MLOps Engineering Guide

sickn33/antigravity-awesome-skills

A comprehensive MLOps engineer skill that covers building scalable ML infrastructure, pipelines, experiment tracking, registries, and cloud-native deployments across AWS, Azure, and GCP with best practices for reliable automation.

Model Quantization Assistant

model-quantization-tool

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for deploying machine learning models with quantization, covering tooling, best practices, and production readiness for inference, MLops, and monitoring tasks.

Model Registry Manager

model-registry-manager

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for model registry manager tasks within ML deployment, covering serving, MLOps pipelines, monitoring, and production optimization whenever that trigger phrase appears.

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