Skill UI

Provides expert guidance on designing, implementing, and optimizing cutting-edge computer vision pipelines. Expertise spans real-time object detection (YOLO26), advanced promptable segmentation (SAM 3), and leveraging Vision Language Models (VLMs) for complex visual reasoning. Ideal for building high-performance systems in robotics, autonomous vehicles, and industrial inspection, including 3D reconstruction and edge deployment optimization.

Enables Claude to invoke the computer-vision-processor plugin, auto-generating Python calls to run object detection, classification, and segmentation on user-provided images for detailed analysis.

Comprehensive skill set covering the full lifecycle of advanced visual AI systems. Expertise includes object detection (YOLO, Faster R-CNN), instance and semantic segmentation (Mask R-CNN, SAM), model training using PyTorch, and production deployment optimization using ONNX and TensorRT for edge or cloud targets.

A comprehensive skill for leveraging massive pre-trained transformer models across diverse AI domains, including Natural Language Processing (NLP), Computer Vision (CV), and Audio. Use this skill for advanced tasks such as text generation, classification, question answering, summarization, object detection, and model fine-tuning on proprietary datasets. It provides streamlined pipelines and granular control for deployment.

This skill covers implementing complex user interactions within Three.js scenes. It demonstrates techniques like raycasting for precise object selection and click detection, handling mouse and touch inputs, and integrating various camera controls (OrbitControls, FlyControls, FirstPersonControls). Use this when building highly interactive, immersive 3D web applications.

This tool parses API Gateway access logs from various providers (AWS, Kong, Nginx). It performs statistical analysis using pandas to detect critical security threats such as Broken Object Level Authorization (BOLA/IDOR), credential stuffing, rate limit bypass attempts, and injection vulnerabilities. Ideal for SOC analysts or security engineers investigating API abuse and building advanced threat detection rules.

A powerful toolkit utilizing Objection and Frida for authorized mobile penetration testing. It enables deep runtime analysis of iOS applications, allowing users to inspect sensitive data in the keychain, filesystem, and memory. Key capabilities include bypassing client-side protections such as SSL pinning and jailbreak detection without requiring source code access.

Simulates advanced persistent threat (APT) activity across the entire cyber kill chain, from reconnaissance to data exfiltration. It evaluates an organization's detection, prevention, and response capabilities using MITRE ATT&CK-aligned techniques, moving beyond typical vulnerability scanning. Ideal for objective-based assessments and purple teaming.

This skill guides the advanced configuration of Windows Event Logging using Group Policy Objects (GPO) and advanced audit policies. It enables high-fidelity logging for critical security events, including process creation (Event 4688), logon/logoff activities, and object access. The process covers optimizing log sizes and implementing Windows Event Forwarding (WEF) to centralize data into SIEM platforms for effective threat detection and forensic investigation.

This skill guides the detection and exploitation of JavaScript prototype pollution vulnerabilities. It covers both client-side (DOM XSS) and server-side (RCE, Auth Bypass) attacks by injecting properties into Object.prototype using keys like `__proto__`. Use this when assessing APIs that deep-merge or clone user-controlled JSON data, or for general web application security testing.

This skill provides a comprehensive guide to implementing robust USB device control policies. It restricts unauthorized removable media access to mitigate data exfiltration risks and prevent malware introduction via USB endpoints. Learn how to deploy granular policies using Group Policy Objects (GPO), Microsoft Intune, or advanced Endpoint Detection and Response (EDR) platforms to meet strict compliance standards.

This skill enables sophisticated runtime dynamic analysis of Android applications using industry-standard tools like Frida and Objection. It is used to observe application behavior, intercept API calls, monitor network traffic, and bypass client-side security protections (e.g., root detection, anti-debugging). Essential for identifying vulnerabilities and analyzing obfuscated code that static analysis cannot reach.