Skill UI

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.

This skill provides comprehensive operational controls for long-lived, cloud-hosted agent workloads. It manages the entire lifecycle—from deployment and scaling to observability and security. Features include detailed monitoring (logs, metrics, traces), safety controls (kill switches, least privilege), and robust change management processes (rollout, rollback, auditing). Ideal for mission-critical microservices and background agents.

A comprehensive guide and workflow for detecting unauthorized data exfiltration from AWS S3 buckets. It details how to leverage multiple AWS services—including CloudTrail, GuardDuty, Amazon Macie, and Athena—to analyze access patterns, identify bulk downloads, and detect cross-account data transfers, ensuring robust cloud compliance and security monitoring.

This skill provides a comprehensive guide to deploying AWS Security Hub for centralized Cloud Security Posture Management (CSPM). It covers aggregating security findings from multiple sources (GuardDuty, Inspector, Macie, and third-party tools), enabling compliance checks against standards like CIS and PCI-DSS, and automating remediation workflows across multi-account AWS organizations. Ideal for security teams needing continuous compliance monitoring and robust governance.

This guide details the implementation of comprehensive security monitoring using Datadog Cloud SIEM, Cloud Security Management (CSM), and Workload Protection. It covers deploying the Datadog Agent across hybrid cloud infrastructure (AWS, Azure, GCP), ingesting critical log sources (CloudTrail, VPC Flow Logs, etc.), configuring Workload Protection, and creating custom detection rules to detect threats, enforce compliance, and provide centralized SOC visibility.

This skill provides a comprehensive guide to hardening managed Kubernetes clusters on major cloud platforms (EKS, AKS, GKE). It details implementing critical security layers, including Pod Security Standards, least-privilege network policies, workload identity (eliminating static cloud credentials), and runtime security monitoring. Essential for securing production environments and meeting compliance requirements.

A comprehensive guide to optimizing cloud spending on Fly.io. Learn advanced strategies for cost reduction, including implementing auto-stop/suspend features, correctly right-sizing Virtual Machines (VMs), managing and cleaning up orphaned volumes, and utilizing proper billing monitoring tools. Essential for efficient cloud resource management.

This skill provides comprehensive API calls using `curl` to interact with the CAST AI platform. It allows users to list connected Kubernetes clusters, retrieve detailed cost savings reports, and inspect the inventory of managed nodes. It is essential for verifying connectivity, auditing cloud spending, and monitoring resource allocation after onboarding.

A comprehensive provider for integrating Eufy security cameras (supporting local P2P or cloud connectivity). This tool facilitates stable RTSP streaming for live monitoring and efficiently captures event-triggered video clips. It is designed for advanced systems that require continuous video feeds and reliable event-based data input for AI analysis and monitoring solutions.

A comprehensive checklist designed to validate that an Oracle Cloud Infrastructure (OCI) environment meets rigorous production-grade standards. This tool automates checks for critical security controls, including compartment isolation, backup policy enforcement, NSG/security list auditing, API key rotation status, encryption verification, and compliance monitoring via Cloud Guard. Use it when preparing an OCI environment for mission-critical workloads or conducting a formal security audit.

A comprehensive guide detailing how to establish robust monitoring for Qdrant. Covers setting up Prometheus metrics scraping, implementing Liveness and Readiness probes for Kubernetes, configuring alerts, and centralizing logs. It provides specific instructions for both self-hosted and Hybrid Cloud environments, ensuring full operational visibility and compliance.

This framework provides comprehensive detection capabilities for compromised cloud credentials across major platforms including AWS, Azure, and GCP. It analyzes critical threat indicators such as anomalous API activity, impossible travel patterns (impossible login locations), and unauthorized resource provisioning. Designed for incident response, security monitoring, and building robust detection rules to mitigate account takeover and credential abuse.