Skill UI

A powerful tool for architecting production-grade multi-agent workflows. It allows users to define complex, multi-step AI pipelines using structured patterns (sequential, parallel, hierarchical). Key features include defining explicit handoff contracts, implementing robust failure handling, and managing context/cost discipline across long-running processes, ensuring reliable and scalable AI system deployment.

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 for deploying and configuring CrowdStrike Falcon EDR agents across diverse endpoints (Windows, macOS, Linux). This skill covers silent installation via SCCM, Intune, GPO, and command-line methods, alongside establishing robust prevention and response policies. Ideal for onboarding endpoints, enhancing threat detection capabilities, and integrating Falcon telemetry into SIEM platforms for advanced security operations.

A comprehensive guide for implementing enterprise-grade Security Access Service Edge (SASE) architectures using Palo Alto Networks Prisma Access. This skill covers configuring ZTNA connectors, GlobalProtect agents, security policies, and device posture checks (HIP) to provide unified, cloud-delivered security, replacing traditional VPNs and maintaining zero trust principles across remote and branch offices.

A comprehensive guide to deploying and configuring Wazuh SIEM/XDR for robust endpoint detection and response. This skill covers agent authentication and management via API, creating custom decoders and rules, querying security alerts, and validating rule logic using logtest functionality.

This guide details implementing Policy-as-Code using Open Policy Agent (OPA) and Gatekeeper. It covers writing complex Rego policies, deploying OPA Gatekeeper as a Kubernetes admission controller, and integrating policy testing into CI/CD pipelines to enforce security standards across clusters. Ideal for DevSecOps practitioners requiring 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.

ScoutSuite is an open-source, agentless tool designed for comprehensive AWS security posture assessment. It queries AWS APIs to automatically enumerate resources across various services, identify critical misconfigurations (like public S3 buckets or overly permissive IAM roles), and generate an interactive HTML report. It is ideal for conducting cloud security audits, compliance checks, or incident response procedures using read-only credentials.

This guide details securing the CAST AI integration across multiple layers. It covers best practices for API key management (including rotation and secrets storage), implementing least-privilege RBAC using 'kubectl', deploying the Kvisor security agent for runtime scanning, and setting up Kubernetes Network Policies to restrict egress traffic. Use this when hardening production clusters or performing security audits.

A comprehensive guide detailing the systematic process for upgrading and migrating CAST AI components. This includes updating Helm charts (agent, controller, evictor) and Terraform providers. It outlines prerequisites, step-by-step upgrade procedures, validation checks, and necessary rollback procedures to ensure a safe transition between versions.

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.

KubeStellar Console is an open-source, multi-cluster Kubernetes dashboard (CNCF project) that provides advanced operational capabilities powered by an MCP server and built-in AI agent skills. It helps manage complex deployments across edge and cloud environments, offering AI-assisted troubleshooting, performance testing, and deep integration with major CNCF projects like Argo and Istio.