Skill UI

This robust pipeline guides development teams through a rigorous, five-phase planning process *before* writing any code. It systematically analyzes PRDs, design specifications (UX, accessibility), and existing architecture to produce a comprehensive implementation plan. Key outputs include Architecture Decision Records (ADRs), detailed task breakdowns, and verification strategies, ensuring all technical and design decisions are documented and scoped.

Streamlines the complex process of documenting software releases. This tool scans Git history, categorizes changes (features, fixes, performance), and generates multiple outputs—including a structured CHANGELOG, PR body, and user-friendly communication announcements—while also detecting necessary database migrations. Ideal for professional software teams preparing for production deployments.

A comprehensive guide detailing advanced, authorized techniques for Active Directory security testing and red teaming. It covers critical attack vectors such as Kerberos exploitation, BloodHound path analysis, NTLM relay, and domain privilege escalation. Designed for security professionals to systematically map and exploit domain weaknesses.

A comprehensive, structured guide for reverse engineering and analyzing managed .NET/C# binaries. This skill covers the full workflow, including initial identification (CLR check), deobfuscation (using tools like de4dot), static analysis via IL view (dnSpyEx), and dynamic debugging. It is essential for analyzing malware, red team tools, and patching compiled C# applications.

This skill processes public Shopify App Store reviews (especially low-star ones) to generate a structured, actionable brief. It categorizes feedback into incident risk, repeated friction, pricing confusion, and feature requests, providing a prioritized P0-P3 assessment for product and support teams. It ensures every piece of feedback maintains its public source link and labeling for human review.

A rigorous method for authorized adversarial security review. It models the attacker, maps the entire attack surface (APIs, auth flows, data handling), and generates reports containing only findings with a concrete, reproducible exploit path and verified mitigation steps. Essential for pre-launch hardening and critical system reviews.