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Experiment Tracking Setup

setting-up-experiment-tracking

jeremylongshore/claude-code-plugins-plus-skills

Automates the setup of ML experiment tracking with MLflow or W&B, configures the environment, initializes servers, and supplies snippets for logging parameters, metrics, and artifacts so runs stay reproducible and easy to compare.

Spring Boot Backend Patterns

springboot-patterns

affaan-m/everything-claude-code

Guides Java engineers through Spring Boot backend architecture, REST API design, service layering, repository patterns, caching, async handlers, logging, middleware, and resilience practices for scalable production services.

Spring Boot Security Review

springboot-security

affaan-m/everything-claude-code

Checklist covering Spring Security best practices for authentication, authorization, validation, CSRF, secrets, headers, rate limiting, dependency scans, and logging in Java Spring Boot services.

Scalable Supabase Architecture Patterns

supabase-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to implementing enterprise-grade Supabase architectures. This skill covers advanced patterns like monorepo layout, multi-tenant Row Level Security (RLS) isolation, microservices integration, and operational patterns (caching, queues, audit logging). Use this when building complex, scalable, and production-ready applications on Supabase.

Model Version Tracker

tracking-model-versions

jeremylongshore/claude-code-plugins-plus-skills

Enables Claude to manage AI/ML model versions through the model-versioning-tracker plugin, automating logging, lineage tracking, performance summaries, and version retrieval whenever users request registry or deployment support.

Advanced Vercel Debugging Techniques Guide

vercel-advanced-troubleshooting

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for diagnosing difficult and intermittent Vercel deployment issues. Covers advanced topics such as cold start analysis, edge function crashes, region-specific behavior isolation, function bundle optimization, and concurrency throttling. Use this when standard logging fails and systematic, deep-dive debugging is required for production stability.

Vercel Enterprise RBAC Configuration

vercel-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

Configure Vercel's advanced role-based access control (RBAC) for enterprise environments. This guide covers setting up granular team roles, managing project-level access groups, integrating SAML SSO for secure authentication, and enabling detailed audit logging. Use this when implementing strict security protocols and enforcing the principle of least privilege across your team's deployments and resources.

Configure Vercel Observability and Monitoring

vercel-observability

jeremylongshore/claude-code-plugins-plus-skills

This guide provides a comprehensive setup for Vercel observability. It covers enabling built-in analytics, collecting detailed runtime logs, implementing structured logging, configuring external log drains (e.g., Datadog, Sentry), and integrating OpenTelemetry tracing. Use this when monitoring production deployments and setting up robust error tracking.

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.

Weights Biases Experiment Tracking

weights-and-biases

Orchestra-Research/AI-Research-SKILLs

Weights & Biases (W&B) automates experiment logging, real-time dashboards, hyperparameter sweeps, artifact tracking, and model registry/versioning for ML teams using PyTorch, TensorFlow, or HuggingFace workflows.

Windsurf Audit Logging Configuration

windsurf-audit-logging

jeremylongshore/claude-code-plugins-plus-skills

This skill enables comprehensive audit logging for Windsurf Enterprise deployments. It covers tracking of AI interactions, file access events, authentication changes, and overall configuration modifications. It is essential for maintaining strict compliance standards and performing detailed security audits, particularly when the user mentions audit or compliance keywords.

PyTorch Lightning Toolkit

pytorch-lightning

K-Dense-AI/claude-scientific-skills

PyTorch Lightning Toolkit streamlines PyTorch model training by organizing LightningModules, LightningDataModules, Trainer configs, callbacks, logging, and distributed strategies for scalable multi-GPU/TPU runs in research or production workflows.

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