design-review
Designer's eye QA: detects and automates fixes for visual inconsistencies, spacing, hierarchy, and UI polish issues. Iteratively verifies with before/after screenshots.
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28 skills found
Designer's eye QA: detects and automates fixes for visual inconsistencies, spacing, hierarchy, and UI polish issues. Iteratively verifies with before/after screenshots.
Comprehensive UI testing, visual fidelity analysis, and browser debugging using Chrome DevTools MCP and AI-driven vision models.
Automate Android device operations using AI AutoGLM Phone Agent. Enables natural language control for app testing, data collection, and UI interactions like tapping, scrolling, and inputting text.
Test web applications with screen readers like VoiceOver, NVDA, and JAWS. Validate accessibility, debug assistive technology issues, and ensure compliance with screen reader support standards.
Strategic regression testing with intelligent test selection, impact analysis, and continuous regression management for faster, more reliable software delivery.
Implement robust software testing strategies, including unit, integration, and E2E tests, mocking frameworks, TDD patterns, and best practices for high-quality, reliable code across any stack.
Automate pytest execution with built-in environment verification, failure analysis, coverage reporting, and intelligent test discovery.
Automated internationalization (i18n) and localization (l10n) testing suite for global software. Validates translations, RTL layouts, locale-specific formats, and unicode support.
Toolkit for testing local web applications using Playwright, featuring server lifecycle management, automated DOM inspection, and browser automation workflows.
Intelligent GitHub release orchestration using AI swarms for automated versioning, multi-platform deployment, testing, and rollback management.
Orchestrate cross-browser, cross-device, and responsive design testing using cloud providers like BrowserStack and Playwright to ensure consistent user experiences.
Accelerate software delivery by shifting testing to the earliest development phases, using AI-driven requirements validation, TDD, and automated CI pipelines to reduce defect costs.