fdevaibhavpal

Frontend Dot Skills — AI skill for Claude Code

AI community

Open-source frontend development skills for AI coding agents — UI/UX design, React, Next.js, frontend architecture, code review, accessibility, SEO, performance, and reusable workflows for Claude Code.

How to install Frontend Dot Skills

This entry records only its repository, not the path inside it, so there is no exact command to give. Open fdevaibhavpal/frontend-dot-skills and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Frontend Dot Skills does

Open-source frontend development skills for AI coding agents — UI/UX design, React, Next.js, frontend architecture, code review, accessibility, SEO, performance, and reusable workflows for Claude Code, Codex, Cursor, and Antigravity.

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README

Frontend Dot Skills

Open-source frontend engineering skills for AI coding agents.

A modular collection of reusable skills designed to help AI coding agents build maintainable, accessible, performant, and production-ready frontend applications.

The project aims to bring product thinking, UI/UX, frontend architecture, code quality, and modern development practices into everyday AI-assisted workflows.

Work in Progress Open Source

✨ Goals 🎨 UI/UX & Design Systems — Design consistency, typography, color, layout, and responsive interfaces. 🏗️ Frontend Architecture — Component design, modularity, maintainability, and refactoring. 🧩 Library Recommendations — Select appropriate UI, animation, and visualization libraries for specific use cases. 🔍 Code Quality — Code review, accessibility, testing, and engineering best practices. 🚀 Performance & SEO — Web performance, search optimization, and production readiness. 🤖 AI Workflows — Reusable prompts, context efficiency, and task-aware agent collaboration. 🛠️ Planned Compatibility

Designed with portability in mind, with integrations planned for:

Claude Code OpenAI Codex Cursor Google Antigravity Other compatible AI coding agents ⚙️ Technology Approach

The initial architecture is expected to use:

Agent Skills: Markdown-based SKILL.md files and supporting references. Configuration: JSON and platform-specific plugin manifests where required. Automation: TypeScript or shell scripts for project inspection and verification. Distribution: GitHub and platform-compatible skill or plugin packages.

Final implementation choices may evolve during development.

📌 Project Status

Work in Progress. The architecture, initial skills, and platform integrations are being developed. Installation instructions and compati