Skill UI

This comprehensive guide details the methodology for Active Directory (AD) penetration testing. It covers deep domain enumeration, utilizing tools like BloodHound and Impacket, and executing advanced attacks such as Kerberoasting, AS-REP Roasting, and privilege escalation via delegation abuse. Use this when conducting authorized security assessments to discover and exploit misconfigurations to achieve domain compromise.

A robust framework for building complex, long-horizon AI agents using LangGraph. It addresses common pitfalls in advanced agent design, such as unbounded state growth (Virtual FS cleanup) and subagent persona leakage (explicit message overriding). Ideal for tasks requiring multi-step planning, task delegation, and self-correction through reflection loops.

A mechanism for spawning hierarchical, nested sub-agents up to five levels deep, designed specifically for deep task delegation while managing context limitations. Instead of parallel execution, this ensures that each layer of decomposition receives a fresh context window, preventing the parent agent's context budget from being overwhelmed by complex, multi-step workflows. Ideal for research, verification, and synthesis processes.