Skill UI

Conduct comprehensive, offensive security assessments across major cloud environments, including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). This skill simulates real-world attacks, covering reconnaissance, authentication bypass, resource enumeration, privilege escalation, and data extraction to identify critical misconfigurations and vulnerabilities in cloud infrastructure.

Provides comprehensive methodologies for planning, executing, and validating complex, zero-downtime system migrations. This skill covers critical patterns across data (Schema Evolution, CDC), services (Strangler Fig, Canary), and infrastructure (On-Prem to Cloud). It ensures minimal business impact, data consistency, and reliable rollback strategies.

Provides expert guidance on designing, securing, and optimizing cloud-native network infrastructures across AWS, Azure, and GCP, covering load balancing, service mesh, monitoring, and automation best practices for high-performance, resilient deployments.

A comprehensive playbook detailing structured recovery steps for ransomware incidents, adhering to NIST and CISA frameworks. The workflow guides users through environment isolation, forensic evidence preservation, Active Directory restoration (including krbtgt reset), backup integrity validation, and phased system rebuilding. Essential for defined disaster recovery and post-incident restoration.

A comprehensive guide to advanced network reconnaissance using Nmap. This skill covers multi-stage asset discovery, deep service enumeration, vulnerability scanning via the Nmap Scripting Engine (NSE), and advanced evasion techniques (e.g., fragmentation, decoys). It is designed for authorized penetration testing and thorough assessment of enterprise infrastructure.

Manages production-grade secret infrastructure, covering Vault clusters, cloud secret stores, auth methods, rotation, and audit patterns to harden DevOps pipelines and respond to leaks.

This guide provides a detailed template and directive for generating machine-readable, deterministic implementation plans. It is designed for complex software development tasks, such as adding new features, refactoring existing code, or designing system architecture. The output ensures that all steps are atomic, measurable, and structured for autonomous execution by AI agents or human teams, minimizing ambiguity and dependency.

This skill analyzes Azure resource groups in depth, identifying all resources, their configurations, and complex interdependencies. It maps relationships—including network connections, data flows, and managed identities—to generate comprehensive, detailed Mermaid architecture diagrams. Use this when you need a clear, structured visualization and full documentation of an Azure environment's topology.