frontend-testing
Write tests that start with acceptance criteria, then add implementation tests for robustness. Use when writing unit tests (Vitest), end-to-end tests (Playwright), visual regression tests, or accessibility test...
Browse published AI skills maintained by schalkneethling. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
7Repository stars across indexed skills
7Repository forks
0Average repository stars per indexed skill
1Repository stars may repeat across skills from the same repository.
Write tests that start with acceptance criteria, then add implementation tests for robustness. Use when writing unit tests (Vitest), end-to-end tests (Playwright), visual regression tests, or accessibility test...
Generate Drupal/Twig component skeletons with web components and Miyagi validation. Use when user requests to create, scaffold, or add a new component at a specific path (e.g., "add component skeleton at patter...
Provides foundational CSS design tokens (custom properties) for typography, spacing, colors, borders, z-index, and transitions. Use when setting up a base token system for a web project.
CSS authoring guidance emphasizing web standards, accessibility, and performance. Use when writing, reviewing, or refactoring CSS. Provides patterns, snippets, and conventions that prioritize native CSS over fr...
Audit frontend codebases for security vulnerabilities and bad practices. Use when performing security reviews, auditing code for XSS/CSRF/DOM vulnerabilities, checking Content Security Policy configurations, va...
Analyse component dependencies and usage patterns in a Drupal/Twig component library. Use when user asks to find where a component is used, check if a component can be safely removed, audit component dependenci...
Write well-considered semantic HTML that serves all users. Use when creating components, page structures, or reviewing markup. Emphasizes native HTML elements over ARIA. Treats proper document structure and acc...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.