mobile-testing
Comprehensive mobile testing for iOS and Android, covering gestures, sensors, permissions, device fragmentation, and performance across 1000+ real and virtual devices.
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160 skills found
Comprehensive mobile testing for iOS and Android, covering gestures, sensors, permissions, device fragmentation, and performance across 1000+ real and virtual devices.
A professional tool for reading, creating, and editing .docx documents with precise layout control, using python-docx and automated visual rendering checks.
Convert Figma designs to project-consistent UI code using TemPad Dev MCP for precise markup, styling, and token integration.
Download videos from YouTube, Twitter, Bilibili, and thousands of sites using yt-dlp. Supports audio extraction, subtitle downloading, and format selection.
A RAG-based AI solver for high school Chinese GSAT exams, featuring structured knowledge retrieval, reasoning templates, and explainable AI outputs.
Professional copywriting assistant for UX, marketing, and product messaging. Includes button label optimization, error message design, CTA creation, and tone-consistent content writing.
Automated end-to-end test generation using Playwright. Converts user workflows into functional test specs by interactively executing actions and following project conventions.
Enforce strict code quality, correctness, and Rust design patterns for the Turso database, prioritizing data integrity, performance, and maintainable, idiomatic code.
A structured design and planning tool for Vizro dashboards, enforcing a 3-step workflow (requirements, layout, visualization) to ensure production-ready dashboard development.
A comprehensive library of 305+ modular instruction packages, Python CLI tools, and agent workflows designed to extend the capabilities of AI coding assistants like Claude Code, Cursor, Aider, and Gemini CLI.
Orchestrator for audio plugin WebView UI design, handling iterative mockup generation and production-ready scaffolding for JUCE-based instruments and effects.
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.