Skill UI

This skill provides a comprehensive framework for performing end-to-end UI testing and verification on Android emulators. It guides users through systematic processes including device calibration, UI element discovery using uiautomator, performing complex interactions (tap, swipe, input), and robust reporting via visual screenshots and logcat analysis. Ideal for ensuring the stability and functional correctness of React Native or native Android applications.

This comprehensive tool helps users set, track, and optimize personal health goals using deep data analysis. It validates goals against the SMART criteria (Specific, Measurable, Achievable, Relevant, Time-bound) and tracks progress by correlating diverse health data, including nutrition, exercise, and sleep patterns. Key features include habit formation analysis, motivation assessment, identifying roadblocks, and generating interactive reports with ECharts visualizations, providing a holistic view of wellness journeys.

This skill provides expert guidance on applied behavioral science for marketing. It helps users analyze conversion roadblocks, optimize pricing, and improve copywriting by applying 70+ established psychological principles and mental models. Ideal for CRO specialists, marketers, and product managers seeking data-backed, psychologically informed strategies.

Analyzes Android applications at runtime with Frida, Objection, and ADB to hook sensitive methods, observe decrypted data, bypass anti-debug/root checks, and monitor live network traffic during penetration tests or runtime debugging.

Checks Android IPC through intents to find vulnerabilities such as intent injection, unauthorized component access, broadcast sniffing, pending intent hijacking, and content provider leaks by enumerating exported components and exercising them via Drozer, Frida, and ADB.

Generates HTML5 Canvas-based breadboard mockups and diagrams for retro computing builds, showing component placement, wiring, and labeled 6502/555 timer layouts as visual references or teaching aids.

This comprehensive guide details the end-to-end process of migrating data and connecting to Oracle Cloud Infrastructure's Autonomous Database (ADB). It walks through provisioning the ADB using the Python SDK, securely downloading the necessary mTLS wallet, establishing a connection using `python-oracledb`, and executing compatibility-aware data migration via Data Pump.