Skill UI

This skill provides comprehensive expertise in paid advertising across major platforms like Google Ads, Meta, LinkedIn, and TikTok. It guides users through the entire campaign lifecycle, from defining core objectives and identifying ideal audiences (lookalikes, retargeting) to crafting high-converting ad copy (PAS, BAB). Learn best practices for campaign structure, budget allocation, and advanced optimization techniques based on key metrics like ROAS, CPA, and CTR.

This specialized skill acts as an expert SEO consultant to diagnose website performance issues. It conducts comprehensive audits covering Technical SEO (crawlability, site structure), On-Page SEO (metadata, content quality), and Content Strategy. It provides a highly structured, actionable report with prioritized recommendations to boost organic search ranking and visibility.

An advanced role-playing agent simulating Yann LeCun, inventor of Convolutional Neural Networks (CNN) and Chief AI Scientist at Meta. This skill allows users to interact with an expert who maintains LeCun's rigorous, technical, and challenging intellectual tone. Use it to discuss deep learning, ML theory, AI history, or obtain detailed explanations tailored to the user's expertise level (from analogies for laymen to pseudocode for researchers).

This skill extracts up to 50 highly relevant, SEO-friendly keywords and tags from any given text. It is designed to identify core topics, domain terminology, and potential search phrases, formatting them into a strict, comma-separated list suitable for metadata generation, tagging, or search engine optimization (SEO). Use it whenever you need to optimize content for search engines.

This skill details the process of reverse engineering Go-compiled malware using Ghidra. It involves parsing Go-specific metadata structures like buildinfo and pclntab to recover stripped or obfuscated function names. Users can also extract embedded module paths and dependency strings, providing critical insight into the malware's capabilities and third-party dependencies.

This skill details advanced digital forensics techniques for recovering metadata and content of deleted files by analyzing the NTFS Master File Table ($MFT). It covers examining key system artifacts like $LogFile and $UsnJrnl, and analyzing MFT slack space. Use this when reconstructing file system timelines, investigating data loss, or detecting anti-forensic techniques like timestomping during a Windows forensic examination.

This skill allows users to search, fetch detailed metadata, download, and summarize academic papers from the arXiv repository. It supports searching by keywords or specific arXiv IDs and provides robust arguments for controlling the results count, output directory, and download scope. Ideal for students, researchers, and anyone requiring scholarly literature.

A comprehensive framework for assessing network security posture. This skill guides the tester through the entire penetration testing lifecycle, from reconnaissance and host discovery (using tools like Nmap) to service enumeration, vulnerability identification (CVEs), and controlled exploitation (Metasploit). It is essential for validating firewall rules, ensuring compliance (e.g., PCI-DSS), and stress-testing critical infrastructure security.

A comprehensive guide for authorized penetration testing, demonstrating how to identify and exploit critical vulnerabilities in the SMB protocol (e.g., EternalBlue, PrintNightmare). This skill covers network enumeration, lateral movement techniques (Pass-the-Hash, SMB Relay), and post-exploitation activities using Metasploit and Impacket tools to assess enterprise network security posture.

A comprehensive guide to using the Metasploit Framework for advanced penetration testing and vulnerability validation. This skill details how to confirm exploitability of identified CVEs, gather post-exploitation evidence, and validate patch remediation effectiveness. It is essential for risk-based vulnerability management and red team exercises, providing proof of real-world impact beyond simple scanner scores.

This skill detects persistence mechanisms by monitoring Windows startup directories for suspicious file creation (T1547.001). It utilizes real-time file system monitoring via Python watchdog, cross-references Autoruns entries, and analyzes file metadata to identify implants that survive system reboots. Essential for threat hunting and validating security monitoring coverage.

A comprehensive guide to implementing Kubernetes NetworkPolicies, which enforce granular ingress and egress rules at the pod level. This skill enables zero-trust microsegmentation by defining default-deny rules, allowing specific traffic flows (like DNS or inter-service communication), and blocking sensitive access (e.g., cloud metadata). Essential for securing containerized workloads and preventing lateral movement within a cluster.