Skill UI

A comprehensive guide to connecting any Kubernetes cluster (EKS, GKE, AKS) to CAST AI for cost optimization, autoscaling, and security monitoring. This skill covers the entire setup process, including generating API keys, installing the CAST AI agent via Helm charts, and integrating the provider using Terraform.

A comprehensive reference architecture guide for deploying and managing CAST AI across multiple Kubernetes clusters (Dev, Staging, Prod). It details best practices for infrastructure provisioning using Terraform, focusing heavily on cost optimization techniques such as autoscaling, spot instance management, and environment-specific resource policies. Ideal for setting up team standards and ensuring reliable, cost-effective deployments.

This guide provides a comprehensive blueprint for deploying the Abridge clinical AI integration to highly secure, HIPAA-compliant cloud infrastructure. It covers best practices for healthcare deployments, including utilizing BAA-covered services (GCP Cloud Run), robust secret management via GCP Secret Manager, and implementing VPC-restricted networking for maximum data security.

This tool provides comprehensive integration for Reolink security cameras, supporting both RTSP streaming and HTTP API access. It allows users to discover cameras via ONVIF, capture live streams, take snapshots, and even capture motion-triggered video clips. It is ideal for developers building robust, networked surveillance or monitoring systems.

A comprehensive, multi-phase checklist for deploying and validating CAST AI cost optimization and autoscaling features on a production Kubernetes cluster. It guides users through prerequisites, initial monitoring setup (Phase 1), full autoscaling enablement (Phase 2), security hardening (RBAC, secrets), and critical validation commands for safe go-live deployment.

This skill provides comprehensive guidance for deploying and managing GPU-accelerated AI inference services on CoreWeave Kubernetes (CKS). It covers best practices including containerization using NVIDIA CUDA base images, configuring specific GPU resource limits (A100/H100), setting up robust health checks, and executing controlled rolling updates. Ideal for managing multi-model inference and scaling demanding AI workloads in a cloud environment.

This runbook provides structured steps for responding to critical production incidents on the CoreWeave platform. Use it when dealing with GPU workload failures, inference service outages, or general Kubernetes resource issues. It guides users through checking pod status, node health, and diagnosing common model loading errors to ensure rapid service recovery.

This comprehensive bundle collects all necessary diagnostic evidence for Fly.io applications, including machine status, application logs, volume metadata, and network diagnostics. It is crucial for generating detailed support tickets and troubleshooting complex infrastructure issues such as stuck deployments, boot failures, or edge networking problems.

This comprehensive checklist guides thorough security testing of OAuth 2.0 and OpenID Connect (OIDC) protocols. It covers advanced vulnerabilities such as authorization code interception, PKCE bypass, CSRF flaws, and improper scope validation. The methodology emphasizes modern industry standards like FAPI (DPoP, JAR, PAR), making it essential for penetration testers and security researchers assessing web application integrity and API security.

A comprehensive methodology and checklist for identifying and exploiting race conditions (TOCTOU) in web applications. It guides users to find timing windows, detect vulnerabilities like double-spend or rate limit bypass, and exploit concurrent request flaws in state-changing business logic. Essential for penetration testing and bug bounty hunting.

This skill provides a comprehensive checklist and detailed methodology for detecting HTTP Request Smuggling vulnerabilities. It covers various desynchronization types (CL.TE, TE.CL, TE.TE), including HTTP/2 and modern variants. Use this when penetration testing multi-server architectures, proxies, or load balancers to identify potential security bypasses, unauthorized access, or cache poisoning risks.

Provides a comprehensive, production-ready deployment solution for OneNote integrations in containerized environments. This skill addresses critical issues like MSAL token persistence (supporting both file and Redis caches), implementing deep health/readiness checks that validate actual Graph API connectivity, and managing graceful shutdowns. Ideal for containerizing OneNote services for robust, scalable production use with Docker and Kubernetes.