Skill UI

A comprehensive guide detailing advanced techniques for attacking Microsoft Active Directory (AD) environments. It covers the entire red team lifecycle, including reconnaissance (BloodHound, PowerView), credential harvesting (Mimikatz, AS-REP Roasting), and critical attacks such as Kerberos exploitation, Pass-the-Ticket/Hash, and NTLM relay attacks. Essential for penetration testing and defensive validation.

This advanced skill details dual-use security techniques for analyzing protected binaries, conducting malware analysis, and performing authorized penetration testing. It strictly mandates that users confirm explicit written authorization, adhere to defined scope, and ensure legal compliance (e.g., CFAA, DMCA). Use cases include CTF competitions, academic research, and internal security auditing, emphasizing defensive recommendations and evidence preservation.

This advanced skill details dual-use security techniques for analyzing protected binaries, conducting malware analysis, and performing authorized penetration testing. It strictly mandates that users confirm explicit written authorization, adhere to defined scope, and ensure legal compliance (e.g., CFAA, DMCA). Use cases include CTF competitions, academic research, and internal security auditing, emphasizing defensive recommendations and evidence preservation.

A comprehensive skill for conducting offensive security assessments across major cloud providers, including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). It guides users through reconnaissance, authentication testing, resource enumeration, privilege escalation, and persistence techniques, strictly for authorized security engagements.

Master the complete penetration testing lifecycle, covering all five stages from reconnaissance and scanning to vulnerability analysis using OWASP standards, and advanced exploitation techniques with tools like Metasploit. This skill provides a structured framework for conducting authorized, professional security assessments.

A comprehensive guide featuring best practices and patterns for building robust GitLab CI/CD pipelines. Covers multi-stage deployments, containerization (Docker), infrastructure as code (Terraform), security scanning, caching strategies, and advanced GitOps workflows for automated testing and deployment to Kubernetes.

A comprehensive guide covering advanced traffic routing and management techniques within a service mesh using Istio. Learn how to implement critical deployment strategies like Canary releases and Blue-Green deployments, configure circuit breakers, manage retries, and perform fault injection testing. Includes YAML templates for VirtualService, DestinationRule, and Gateway setup, essential for reliable production service deployments.

A comprehensive guide for safely migrating monolithic or aging codebases. It details incremental modernization strategies, dependency mapping, and the implementation of the Strangler Fig pattern. Learn how to build safety nets using characterization tests, manage rollouts with feature flags, and achieve zero-downtime refactoring to reduce technical debt without business disruption.

This skill provides a comprehensive suite for executing load testing, stress testing, and performance benchmarking. Use it to simulate peak traffic, identify system bottlenecks, and verify compliance with Service Level Agreements (SLAs). It supports industry-standard tools like k6, Artillery, Locust, and JMeter for robust performance analysis.

Master systematic methodologies for using Shodan to perform deep reconnaissance during penetration testing. This skill covers querying exposed services, mapping assets, identifying vulnerable systems (CVEs), and utilizing advanced filters for IP ranges, geographical locations, and organizational data. Ideal for security researchers and ethical hackers.

This guide provides comprehensive methods for load testing and capacity planning of Vercel serverless deployments. Learn how to use professional tools like k6 and autocannon to simulate realistic traffic spikes, measure latency (P95, P99), analyze cold start impact, and tune concurrency settings (Fluid Compute) to ensure optimal application performance and scalability under heavy load.

This comprehensive profiler provides systematic performance analysis for modern applications built with Node.js, Python, and Go. It detects critical bottlenecks across CPU, memory, and I/O dimensions. Key features include generating flamegraphs, analyzing bundle sizes, optimizing database queries (N+1 detection), and running rigorous load tests using k6 and Artillery. It mandates before-and-after measurements to ensure verifiable performance improvements.