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Prediction Monitor Assistant

prediction-monitor

jeremylongshore/claude-code-plugins-plus-skills

Prediction Monitor Assistant automates machine learning deployment monitoring tasks, offering step-by-step guidance, best-practice patterns, production-ready code and configuration generation, and validation to keep serving and inference workflows reliable.

Sagemaker Endpoint Deployer

sagemaker-endpoint-deployer

jeremylongshore/claude-code-plugins-plus-skills

Auto-activating assistant that guides AWS Sagemaker endpoint deployment, from best practices to production-ready code, configurations, and validation for inference serving and monitoring workflows.

SNS Topic Config

sns-topic-config

jeremylongshore/claude-code-plugins-plus-skills

Automates SNS topic configuration tasks within AWS, offering guidance, best practices, code generation, and validation for compute, storage, networking, and serverless scenarios.

Solana Vulnerability Audit

solana-vulnerability-scanner

trailofbits/skills

Scans Solana and Anchor programs for six critical security vulnerabilities—arbitrary CPI, improper PDA validation, missing signer/ownership checks, sysvar spoofing, and instruction introspection issues—to support audits and pre-launch reviews.

Tensorflow SavedModel Creator

tensorflow-savedmodel-creator

jeremylongshore/claude-code-plugins-plus-skills

Automates TensorFlow SavedModel deployment support with step-by-step guidance, best-practice patterns, production-ready code/config generation, and validation for serving, monitoring, and optimization scenarios.

Torchscript Exporter

torchscript-exporter

jeremylongshore/claude-code-plugins-plus-skills

Assists with torchscript exporter tasks for ML deployment, offering automated guidance, code/config generation, and validation against industry standards whenever torchscript exporters are mentioned.

Train Test Splitter

train-test-splitter

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance on train/test split workflows inside ML training, surfacing best-practice patterns, code snippets, and validation tips for PyTorch, TensorFlow, and sklearn projects.

Hyperparameter Optimization Assistant

tuning-hyperparameters

jeremylongshore/claude-code-plugins-plus-skills

Guides Claude to automatically tune machine learning model hyperparameters via grid, random, or Bayesian search, generating runnable Python code, executing validations, and reporting best configurations plus performance metrics for accuracy or other goals.

Vast.ai Production Deployment Checklist

vastai-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive checklist for deploying large-scale, production-ready GPU workloads on Vast.ai. It covers critical lifecycle stages including account authentication, instance validation, data encryption, persistent checkpointing strategies, fault tolerance for spot instances, robust monitoring (utilization & cost), and strict cost controls, ensuring reliable and stable ML/AI deployments.

Vertex AI Deployer

vertex-ai-deployer

jeremylongshore/claude-code-plugins-plus-skills

Automates Vertex AI deployment tasks, offering step-by-step guidance, production-ready code, and validation for model serving, MLOps pipelines, monitoring, and optimization when you mention Vertex AI Deployer.

Wandb Experiment Logging

wandb-experiment-logger

jeremylongshore/claude-code-plugins-plus-skills

Automates wandb experiment logger tasks within ML training, providing guidance, best practices, and code or configuration examples plus validation to keep data prep, training, hyperparameter tuning, and experiment tracking consistent.

Foresight Activation Guide

soft-predict-future

davepoon/buildwithclaude

Soft Predict Future is a structured foresight engine that triggers whenever the user asks about future outcomes or scenarios. It enforces a nine-step analytical pipeline (validation, signal collection, scoring, driver extraction, etc.), highlights required searches and inputs, and directs the user to web-enabled reasoning for predictive analysis.

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