frontend-engineer

siviter-xyz/dot-agent · updated Apr 17, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/siviter-xyz/dot-agent --skill frontend-engineer
0 commentsdiscussion
summary

Comprehensive guide for modern React development, emphasizing Suspense-based data fetching, lazy loading, proper file organization, and performance optimization.

skill.md

Frontend Engineer

Comprehensive guide for modern React development, emphasizing Suspense-based data fetching, lazy loading, proper file organization, and performance optimization.

When to Use

  • Creating new components or pages
  • Building new features
  • Fetching data with TanStack Query
  • Setting up routing with TanStack Router
  • Styling components
  • Performance optimization
  • Organizing frontend code
  • TypeScript best practices

Quick Start

New Component Checklist

  • Use React.FC<Props> pattern with TypeScript
  • Lazy load if heavy component: React.lazy(() => import())
  • Wrap in <SuspenseLoader> for loading states
  • Use useSuspenseQuery for data fetching
  • Import aliases: @/, ~types, ~components, ~features
  • Styles: Inline if <100 lines, separate file if >100 lines
  • Use useCallback for event handlers passed to children
  • Default export at bottom
  • No early returns with loading spinners
  • Use notification system for user feedback

New Feature Checklist

  • Create features/{feature-name}/ directory
  • Create subdirectories: api/, components/, hooks/, helpers/, types/
  • Create API service file: api/{feature}Api.ts
  • Set up TypeScript types in types/
  • Create route in routes/{feature-name}/index.tsx
  • Lazy load feature components
  • Use Suspense boundaries
  • Export public API from feature index.ts

Core Principles

  1. Lazy Load Everything Heavy: Routes, DataGrid, charts, editors
  2. Suspense for Loading: Use SuspenseLoader, not early returns
  3. useSuspenseQuery: Primary data fetching pattern for new code
  4. Features are Organized: api/, components/, hooks/, helpers/ subdirs
  5. Styles Based on Size: <100 inline, >100 separate
  6. Import Aliases: Use @/, ~types, ~components, ~features
  7. No Early Returns: Prevents layout shift
  8. TypeScript First: Strict mode, no any type

Implementation Workflow

When implementing frontend code:

  • Check for existing workflow patterns (spec-first, TDD, etc.) and follow them
  • Ensure code passes CI checks (types, tests, lint) before committing
  • Group related changes with tests in atomic commits

References

For detailed guidance, see:

  • references/component-patterns.md - Modern React component patterns
  • references/data-fetching.md - Suspense-based data fetching
  • references/file-organization.md - Feature-based organization
  • references/styling-guide.md - Styling patterns and best practices
  • references/routing-guide.md - TanStack Router patterns
  • references/performance.md - Performance optimization
  • references/typescript-standards.md - TypeScript best practices
how to use frontend-engineer

How to use frontend-engineer on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add frontend-engineer
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/siviter-xyz/dot-agent --skill frontend-engineer

The skills CLI fetches frontend-engineer from GitHub repository siviter-xyz/dot-agent and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/frontend-engineer

Reload or restart Cursor to activate frontend-engineer. Access the skill through slash commands (e.g., /frontend-engineer) or your agent's skill management interface.

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ 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.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.626 reviews
  • Pratham Ware· Dec 12, 2024

    We added frontend-engineer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Lucas Gill· Dec 4, 2024

    Useful defaults in frontend-engineer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Yash Thakker· Nov 3, 2024

    frontend-engineer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Dhruvi Jain· Oct 22, 2024

    Registry listing for frontend-engineer matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Aditi Ghosh· Sep 25, 2024

    frontend-engineer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ren Okafor· Aug 16, 2024

    Registry listing for frontend-engineer matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Isabella Ramirez· Jul 23, 2024

    I recommend frontend-engineer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Mia Dixit· Jul 7, 2024

    Solid pick for teams standardizing on skills: frontend-engineer is focused, and the summary matches what you get after install.

  • Neel Torres· Jun 26, 2024

    We added frontend-engineer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kaira Thompson· Jun 14, 2024

    frontend-engineer reduced setup friction for our internal harness; good balance of opinion and flexibility.

showing 1-10 of 26

1 / 3