senior-frontend
Comprehensive frontend development skill for building modern, performant web applications using ReactJS, NextJS, TypeScript, Tailwind CSS. Includes component scaffolding, performance optimization, bundle analysis, and UI best practices. Use when developing frontend features, optimizing performance, implementing UI/UX designs, managing state, or reviewing frontend code.
Works with
--- name: senior-frontend description: Comprehensive frontend development skill for building modern, performant web applications using ReactJS, NextJS, TypeScript, Tailwind CSS. Includes component scaffolding, performance optimization, bundle analysis, and UI best practices. Use when developing frontend features, optimizing performance, implementing UI/UX designs, managing state, or reviewing frontend code. license: MIT --- # Senior Frontend Complete toolkit for senior frontend with modern tools and best practices. ## Quick Start ### Main Capabilities This skill provides three core capabilities through automated scripts: ```bash # Script 1: Component Generator python scripts/component_generator.py [options] # Script 2: Bundle Analyzer python scripts/bundle_analyzer.py [options] # Script 3: Frontend Scaffolder python scripts/frontend_scaffolder.py [options] ``` ## Core Capabilities ### 1. Component Generator Automated tool for component generator tasks. **Features:** - Automated scaffolding - Best practices built-in - Configurable templates - Quality checks **Usage:** ```bash python scripts/component_generator.py <project-path> [options] ``` ### 2. Bundle Analyzer Comprehensive analysis and optimization tool. **Features:** - Deep analysis - Performance metrics - Recommendations - Automated fixes **Usage:** ```bash python scripts/bundle_analyzer.py <target-path> [--verbose] ``` ### 3. Frontend Scaffolder Advanced tooling for specialized tasks. **Features:** - Expert-level automation - Custom configurations - Integration ready - Production-grade output **Usage:** ```bash python scripts/frontend_scaffolder.py [arguments] [options] ``` ## Reference Documentation ### React Patterns Comprehensive guide available in `references/react_patterns.md`: - Detailed patterns and practices - Code examples - Best practices - Anti-patterns to avoid - Real-world scenarios ### Nextjs Optimization Guide Complete workflow documentation in `references/nextjs_optimization_guide.md`: - Step-by-step processes - Optimization strategies - Tool integrations - Performance tuning - Troubleshooting guide ### Frontend Best Practices Technical reference guide in `references/frontend_best_practices.md`: - Technology stack details - Configuration examples - Integration patterns - Security considerations - Scalability guidelines ## Tech Stack **Languages:** TypeScript, JavaScript, Python, Go, Swift, Kotlin **Frontend:** React, Next.js, React Native, Flutter **Backend:** Node.js, Express, GraphQL, REST APIs **Database:** PostgreSQL, Prisma, NeonDB, Supabase **DevOps:** Docker, Kubernetes, Terraform, GitHub Actions, CircleCI **Cloud:** AWS, GCP, Azure ## Development Workflow ### 1. Setup and Configuration ```bash # Install dependencies npm install # or pip install -r requirements.txt # Configure environment cp .env.example .env ``` ### 2. Run Quality Checks ```bash # Use the analyzer script python scripts/bundle_analyzer.py . # Review recommendations # Apply fixes ``` ### 3. Implement Best Practices Follow the patterns and practices documented in: - `references/react_patterns.md` - `references/nextjs_optimization_guide.md` - `references/frontend_best_practices.md` ## Best Practices Summary ### Code Quality - Follow established patterns - Write comprehensive tests - Document decisions - Review regularly ### Performance - Measure before optimizing - Use appropriate caching - Optimize critical paths - Monitor in production ### Security - Validate all inputs - Use parameterized queries - Implement proper authentication - Keep dependencies updated ### Maintainability - Write clear code - Use consistent naming - Add helpful comments - Keep it simple ## Common Commands ```bash # Development npm run dev npm run build npm run test npm run lint # Analysis python scripts/bundle_analyzer.py . python scripts/frontend_scaffolder.py --analyze # Deployment docker build -t app:latest . docker-compose up -d kubectl apply -f k8s/ ``` ## Troubleshooting ### Common Issues Check the comprehensive troubleshooting section in `references/frontend_best_practices.md`. ### Getting Help - Review reference documentation - Check script output messages - Consult tech stack documentation - Review error logs ## Resources - Pattern Reference: `references/react_patterns.md` - Workflow Guide: `references/nextjs_optimization_guide.md` - Technical Guide: `references/frontend_best_practices.md` - Tool Scripts: `scripts/` directory
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competitor-profiling
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When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' 'competitive intelligence,' 'competitor deep dive,' 'who are my competitors,' 'competitor landscape,' 'competitor dossier,' 'competitive audit,' or 'research these competitors.' Input is a list of competitor URLs. Output is structured competitor profile markdown files. For creating comparison/alternative pages from profiles, see competitors. For sales-specific battle cards, see sales-enablement.
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vercel-labs/agent-skills
Use for Vercel cost and performance optimization on deployed projects, especially Next.js, SvelteKit, Nuxt, and limited Astro apps. Collect Vercel metrics, usage, project config, and code scan results first; investigate only metric-backed candidates; produce ranked recommendations grounded in verified files and version-aware Vercel/framework docs. Trigger for Vercel bill reduction, slow or expensive routes, caching opportunities, Function Invocations, Build Minutes, Fast Data Transfer, Core Web Vitals, Bot Management, Fluid compute, or cost breakdown requests.

