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.

Automates Mailchimp email marketing workflows via Rube MCP, covering campaign creation, scheduling, audience management, subscriber operations, segmentation, and analytics. Use when orchestrating Mailchimp actions through Composio's toolkit, always fetching current schemas with RUBE_SEARCH_TOOLS before kicking off sequences.

Controls Mixpanel analytics via Rube MCP to aggregate events, run segmentation, funnels, cohorts, profiles, and JQL/insight queries while ensuring schema discovery precedes automation.

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.

Provides Meta AI’s Segment Anything Model for zero-shot image segmentation via interactive prompts or automatic mask generation, enabling rapid dataset creation and integration in vision pipelines.

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.

Provides Twilio-based communication patterns covering SMS, voice, WhatsApp, and Verify flows; includes error handling, compliance reminders, rate limits, segmentation warnings, and OTP 2FA guidance for notifications, confirmations, and security workflows.

Guides multi-location retailers through demand forecasting, safety stock calculation, replenishment planning, promotional lift estimation, and ABC/XYZ segmentation, blending statistical best practices with ML-ready feature engineering to balance service levels and inventory costs.

Aeon is a scikit-learn compatible toolkit for time series machine learning, covering classification, regression, clustering, forecasting, anomaly detection, segmentation, similarity search, and feature extraction on temporal data.

A comprehensive guide for conducting authorized wireless network penetration tests. This skill assesses the overall security posture of WiFi infrastructure, covering weak encryption protocols, captive portal bypasses, Evil Twin attacks, WPA2/WPA3 handshake capture, and rogue access point detection. It evaluates wireless authentication methods, network segmentation, and the effectiveness of WIDS/WIPS systems.

This skill provides a comprehensive guide to implementing microsegmentation policies. It details how to move beyond traditional network boundaries (VLANs) to enforce least-privilege access control between individual workloads using identity and application context. Essential for preventing lateral movement and establishing a robust zero-trust architecture aligned with industry compliance standards.

This guide details the robust process of implementing VLAN-based (802.1Q) network segmentation on managed switches. It is crucial for isolating critical zones—such as DMZ, servers, and IoT—to meet strict compliance standards (PCI-DSS, HIPAA) and significantly limiting the blast radius during a security incident by controlling lateral movement. Includes port hardening and ACL configuration.