converting-css-to-tailwind
๐ฏSkillfrom spencerpauly/awesome-cursor-skills
Teaches AI agents to convert plain CSS stylesheets to Tailwind utility classes, handling selectors, media queries, pseudo-classes, animations, and arbitrary values.
Same repository
spencerpauly/awesome-cursor-skills(65 items)
Installation
npx vibeindex add spencerpauly/awesome-cursor-skills --skill converting-css-to-tailwindnpx skills add spencerpauly/awesome-cursor-skills --skill converting-css-to-tailwind~/.claude/skills/converting-css-to-tailwind/SKILL.mdSKILL.md
More from this repository10
A skill from the Awesome Cursor Skills collection, a curated library of reusable SKILL.md instruction files that teach Cursor's AI agent specific engineering workflows. The collection includes skills for security auditing, visual QA testing, performance profiling, and other development tasks.
A Cursor skill that opens your app in Cursor's built-in browser to take screenshots, check console errors, and audit network requests after making code changes, enabling visual QA testing directly within the editor.
A curated collection of Cursor AI editor skills including rule suggestion, hook automation, workspace context saving, visual QA testing, parallel exploration, and browser verification, with support for multiple AI coding assistants.
A curated collection of reusable SKILL.md files for Cursor that teach the AI agent specific engineering workflows, including browser automation, parallel exploration, visual QA testing, and performance profiling.
Part of the Awesome Cursor Skills curated list; this skill instructs the AI agent to iteratively fix, run, and verify code autonomously until all tests pass, the build succeeds, or linting is clean.
A Cursor skill from Awesome Cursor Skills for leveraging the UI stack in development workflows, part of a curated collection of reusable SKILL.md files for Cursor's AI agent.
Part of a curated collection of Cursor skills providing thorough code review focused on correctness, maintainability, performance, and best practices.
Opens the application at multiple viewport sizes (mobile, tablet, desktop), takes screenshots of each, and reports any layout breakage or responsive design issues.
Automatically persists research findings, decisions, and learnings to workspace files, ensuring knowledge survives across AI agent conversations and sessions.
Runs four parallel code review subagents focusing on security, performance, correctness, and readability, then merges their findings into a single unified review report.