Modern frontend development toolkit with React, Next.js, TypeScript, and automated optimization.
Works with
Three core Python scripts automate component scaffolding, bundle analysis with performance metrics, and full project scaffolding with built-in best practices
Includes reference guides for React patterns, Next.js optimization strategies, and frontend best practices covering code quality, performance, security, and maintainability
Supports a broad tech stack spanning React, Next.js, React N
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsenior-frontendExecute the skills CLI command in your project's root directory to begin installation:
Fetches senior-frontend from davila7/claude-code-templates and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate senior-frontend. Access via /senior-frontend in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
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Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Complete toolkit for senior frontend with modern tools and best practices.
This skill provides three core capabilities through automated scripts:
# 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]
Automated tool for component generator tasks.
Features:
Usage:
python scripts/component_generator.py <project-path> [options]
Comprehensive analysis and optimization tool.
Features:
Usage:
python scripts/bundle_analyzer.py <target-path> [--verbose]
Advanced tooling for specialized tasks.
Features:
Usage:
python scripts/frontend_scaffolder.py [arguments] [options]
Comprehensive guide available in references/react_patterns.md:
Complete workflow documentation in references/nextjs_optimization_guide.md:
Technical reference guide in references/frontend_best_practices.md:
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
# Install dependencies
npm install
# or
pip install -r requirements.txt
# Configure environment
cp .env.example .env
# Use the analyzer script
python scripts/bundle_analyzer.py .
# Review recommendations
# Apply fixes
Follow the patterns and practices documented in:
references/react_patterns.mdreferences/nextjs_optimization_guide.mdreferences/frontend_best_practices.md# 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/
Check the comprehensive troubleshooting section in references/frontend_best_practices.md.
references/react_patterns.mdreferences/nextjs_optimization_guide.mdreferences/frontend_best_practices.mdscripts/ directoryPrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Registry listing for senior-frontend matched our evaluation — installs cleanly and behaves as described in the markdown.
senior-frontend fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
senior-frontend reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend senior-frontend for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: senior-frontend is focused, and the summary matches what you get after install.
senior-frontend is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
senior-frontend reduced setup friction for our internal harness; good balance of opinion and flexibility.
senior-frontend fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
senior-frontend has been reliable in day-to-day use. Documentation quality is above average for community skills.
senior-frontend is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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