Skill UI

This comprehensive guide outlines the best practices and structured methodology for developing specialized skills for AI coding agents. It provides detailed instructions on integrating Azure SDKs and Microsoft Foundry services, covering crucial topics like secure authentication patterns (DefaultAzureCredential), modular workflow design, and maintaining concise, effective knowledge context for optimal agent performance.

This deep dive guides users through migrating complex GPU workloads, such as deep learning training pipelines, from major hyperscalers (AWS, GCP, Azure) or other cloud platforms to Vast.ai. It covers critical steps including cost comparison analysis, adapting Docker images for new environments, securely handling cloud credentials via environment variables, and implementing robust validation and rollback procedures to ensure a smooth transition.

Detects abnormal access patterns across major cloud storage platforms, including AWS S3, GCS, and Azure Blob Storage. By analyzing cloud audit logs (CloudTrail, etc.), this tool identifies critical security threats such as after-hours bulk data downloads, sudden spikes in API calls (GetObject spikes), access from new geographic IPs, and potential data exfiltration. It utilizes statistical baselines and time-series anomaly detection for proactive threat hunting and security incident investigation.

This guide provides a comprehensive methodology for conducting cloud security audits across major platforms (AWS, Azure, GCP) using industry-standard CIS Benchmarks. It covers selecting appropriate benchmark versions, running automated assessments using tools like Prowler and ScoutSuite, interpreting complex compliance results, and prioritizing systematic remediation steps to achieve and maintain continuous compliance (e.g., SOC 2, ISO 27001).

This skill details the implementation of a cloud-native SIEM and SOAR platform using Microsoft Sentinel. It covers ingesting multi-cloud logs (AWS, Azure, GCP), writing advanced KQL detection queries for threat hunting, and automating incident response workflows using Logic Apps. Ideal for centralized security operations in complex, multi-cloud environments.

Guides responders through cloud incident response operations across AWS, Azure, and GCP, covering detection, identity containment, isolation, and forensic evidence preservation.

Guide for assessing AWS, Azure, and GCP environments with tools such as Pacu, ScoutSuite, and Prowler to uncover IAM weaknesses, exposed storage, insecure serverless functions, and cloud-native attack chains.

A comprehensive guide covering methodologies for conducting authorized penetration testing across major cloud platforms, including AWS, Azure, and GCP. It details the shared responsibility model, techniques for exploiting IAM misconfigurations, testing for SSRF vulnerabilities to cloud metadata services, and utilizing industry tools like Pacu and ScoutSuite. Findings are mapped to the MITRE ATT&CK Cloud matrix for robust reporting.

This comprehensive guide details how to implement a Zero Trust Network Access (ZTNA) solution using Cloudflare Access and Cloudflare Tunnel. It provides a secure alternative to traditional VPNs by offering identity-aware, policy-driven access to self-hosted and private applications. The process covers setting up tunnels, integrating major Identity Providers (Okta, Azure AD), and enforcing granular access policies.

This skill uses the Python azure-mgmt-storage SDK to perform comprehensive security audits on Azure Blob and ADLS storage accounts. It detects critical misconfigurations, including public access exposure, weak or long-lived SAS tokens, lack of encryption at rest, failure to enforce HTTPS, and outdated TLS versions. The output is a detailed, risk-scored report with remediation recommendations, essential for SOC analysts and security posture management.

Detect unauthorized crypto-mining in AWS, Azure, and GCP by correlating GuardDuty/Defender/SCC findings, compute anomalies, network flows, and container/serverless behaviors to validate threats and guide response.

A comprehensive guide for security teams on detecting and responding to unauthorized crypto mining operations in cloud environments (AWS, Azure). It details a multi-layered approach, utilizing cost anomaly detection, compute utilization monitoring, GuardDuty findings, and network flow log analysis (VPC/KQL) to identify resource hijacking attempts and suspicious activity across EC2, ECS, and EKS workloads.