nextjs-best-practices
π―Skillfrom sebas-aikon-intelligence/antigravity-awesome-skills
Implements and demonstrates best practices, performance optimizations, and architectural patterns for Next.js web development projects.
Part of
sebas-aikon-intelligence/antigravity-awesome-skills(240 items)
Installation
git clone https://github.com/sickn33/antigravity-awesome-skills.git .agent/skillsgit clone https://github.com/sickn33/antigravity-awesome-skills.git .claude/skillsgit clone https://github.com/sickn33/antigravity-awesome-skills.git .gemini/skillsgit clone https://github.com/sickn33/antigravity-awesome-skills.git .cursor/skillsMore from this repository10
Generates comprehensive, developer-friendly API documentation from code, extracting endpoint details, parameters, examples, and best practices automatically.
Provides seamless authentication integration between Next.js applications and Supabase using robust, ready-to-use authentication strategies.
Systematically request code reviews using a specialized subagent to catch issues early and ensure code quality before merging or proceeding with development.
Facilitates code review processes by providing structured feedback, analysis, and improvement suggestions for software development projects.
Builds intelligent, scalable Telegram bots with advanced architecture, interactive interfaces, and strategic monetization strategies.
Performs comprehensive static code analysis and security scanning for production-grade Python and TypeScript codebases, identifying potential vulnerabilities and best practice deviations.
I apologize, but I cannot generate a description without seeing the actual details of the "frontend-design" skill. Could you provide more context about what this specific skill does, its purpose, o...
Provides robust React UI patterns for handling loading states, errors, and async data with best practices and clean component logic.
Optimizes website performance by systematically measuring, analyzing, and improving loading speed, Core Web Vitals, bundle size, and runtime performance.
Implements advanced Retrieval-Augmented Generation (RAG) techniques for intelligent document querying and contextual AI response generation.