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Regression Test Tracker

tracking-regression-tests

jeremylongshore/claude-code-plugins-plus-skills

Tracks and runs regression suites, automating execution of critical tests and analyzing outcomes so Claude highlights failures, flaky checks, and stability impacts before deployments.

Resource Usage Tracker

tracking-resource-usage

jeremylongshore/claude-code-plugins-plus-skills

Tracks CPU, memory, disk/network I/O, DB connections, and threads via the resource-usage-tracker plugin to reveal performance bottlenecks, recommend right-sizing, and guide cost-saving actions.

Service Reliability Tracking

tracking-service-reliability

jeremylongshore/claude-code-plugins-plus-skills

Defines and monitors SLAs, SLIs, and SLOs so teams can set performance targets, track metrics like error budgets and availability, and react before issues impact customers.

Crypto Token Launch and Risk Monitor

tracking-token-launches

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive tool designed to monitor new token launches across various Decentralized Exchanges (DEXs). It detects new pair creation events, fetches detailed token metadata, and performs deep contract risk analysis. The analysis checks for critical indicators such as mint functions, proxy patterns, blacklists, and ownership status, helping users safely track market activity on major chains like Ethereum, Base, and BSC.

QStash Serverless Delivery

sickn33/antigravity-awesome-skills

Upstash QStash expert handles serverless message queues, scheduled HTTP jobs, retries, deduplication, and callback tracking so you can deliver asynchronous tasks without managing infrastructure.

Vast.ai Distributed Training and Cost Management

vastai-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

This advanced workflow orchestrates complex, multi-node GPU clusters on Vast.ai. It is designed for large-scale distributed machine learning training, automatically handling spot instance preemption and resuming jobs from checkpoints. Furthermore, it provides comprehensive cost analysis by tracking billing history, allowing users to optimize GPU spending and manage cluster teardown efficiently.

Vast.ai GPU Monitoring and Cost Tracking

vastai-observability

jeremylongshore/claude-code-plugins-plus-skills

This skill provides comprehensive monitoring capabilities for GPU instances running on Vast.ai. It collects key metrics including GPU utilization, instance uptime, temperature, and accumulated costs. Use this when setting up operational monitoring dashboards, configuring critical alerts (e.g., idle GPUs, high temperature, budget overruns), or automating resource usage tracking in a cloud computing environment.

Building Event-Driven GPU Workflows

vastai-webhooks-events

jeremylongshore/claude-code-plugins-plus-skills

Implement robust, event-driven workflows for managing GPU resources on Vast.ai. Since native webhooks are unavailable, this skill uses Python polling to continuously monitor instance status changes (e.g., loading, running, exited). It enables complex automation tasks such as auto-recovering from spot preemption, handling lifecycle events, and tracking billing costs.

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.

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