Browse skills

Analyzes webpage Core Web Vitals (LCP, FID, CLS) to identify performance bottlenecks and suggest optimization strategies.

Quickly extracts key information and summaries from any webpage URL provided.

Automates Webpack configuration and bundling tasks, optimizing JavaScript projects for production deployment.

Analyzes webpage performance metrics like loading speed, interactivity, and visual stability to identify frontend optimization opportunities.

Provides web development guidance and assistance for software development workflows.

Extracts structured data from standard webpages using simple HTML parsing techniques.

Analyzes UI elements on any webpage to extract data like text, links, and attributes for automation tasks.

Automatically optimizes high-impact component placement on webpages to improve user engagement and conversion rates.

Motion V Skilld dynamically adjusts webpage elements based on user movement, enhancing interactivity and creating responsive experiences.

Quickly identifies and extracts key UI elements and data from webpages for automated testing and analysis.

Extracts structured data from webpages using advanced parsing techniques, ideal for automated content aggregation and analysis.

Evaluates webpage keyboard accessibility against WCAG success criteria, identifying focus order issues and operable elements.

Analyzes webpage color contrast ratios against WCAG guidelines to identify accessibility issues for users with visual impairments.

Simulates a frosted glass effect on webpage elements, blurring content behind them for visual separation.

Analyzes webpage layouts against WCAG perceivability guidelines, identifying deep structural accessibility issues for users with disabilities.

Evaluates webpage keyboard accessibility against WCAG success criteria, identifying operable elements and potential issues.

Evaluates webpage color contrast and accessibility for common types of color blindness, per WCAG guidelines.

Analyzes webpage elements to ensure operable target sizes meet WCAG 2.1 Success Criterion 2.5.5.

Analyzes webpage layouts against WCAG perceivability guidelines, identifying potential accessibility issues for users.

Analyzes webpage text sizes against WCAG success criteria 1.4.3 for sufficient contrast and legibility.

Analyzes webpage color contrast against WCAG guidelines to identify accessibility issues related to perceivability.

The Theme Detector analyzes webpage content to identify its dominant visual themes, streamlining design consistency and brand alignment.

Analyzes webpage performance metrics (LCP, FID, CLS) to identify and suggest frontend optimization improvements.

Analyzes webpage CSS, identifies selectors, properties, and potential styling conflicts for efficient debugging and optimization.