frontend-code-review

langgenius/dify · updated May 26, 2026

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

$npx skills add https://github.com/langgenius/dify --skill frontend-code-review
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summary

Automated frontend code review against a multi-category checklist, supporting both pending-change and targeted file reviews.

  • Triggers on user requests to review frontend files ( .tsx , .ts , .js ) and applies a canonical checklist across Code Quality, Performance, and Business Logic categories
  • Supports two review modes: pending-change review for staged/working-tree files before commit, and file-targeted review for specific named files
  • Flags violations with urgency metadata (Urgent vs
skill.md

Frontend Code Review

Intent

Use this skill whenever the user asks to review frontend code (especially .tsx, .ts, or .js files). Support two review modes:

  1. Pending-change review – inspect staged/working-tree files slated for commit and flag checklist violations before submission.
  2. File-targeted review – review the specific file(s) the user names and report the relevant checklist findings.

Stick to the checklist below for every applicable file and mode.

Checklist

See references/code-quality.md, references/performance.md, references/business-logic.md for the living checklist split by category—treat it as the canonical set of rules to follow.

Flag each rule violation with urgency metadata so future reviewers can prioritize fixes.

Review Process

  1. Open the relevant component/module. Gather lines that relate to class names, React Flow hooks, prop memoization, and styling.
  2. For each rule in the review point, note where the code deviates and capture a representative snippet.
  3. Compose the review section per the template below. Group violations first by Urgent flag, then by category order (Code Quality, Performance, Business Logic).

Required output

When invoked, the response must exactly follow one of the two templates:

Template A (any findings)

# Code review
Found <N> urgent issues need to be fixed:

## 1 <brief description of bug>
FilePath: <path> line <line>
<relevant code snippet or pointer>


### Suggested fix
<brief description of suggested fix>

---
... (repeat for each urgent issue) ...

Found <M> suggestions for improvement:

## 1 <brief description of suggestion>
FilePath: <path> line <line>
<relevant code snippet or pointer>


### Suggested fix
<brief description of suggested fix>

---

... (repeat for each suggestion) ...

If there are no urgent issues, omit that section. If there are no suggestions, omit that section.

If the issue number is more than 10, summarize as "10+ urgent issues" or "10+ suggestions" and just output the first 10 issues.

Don't compress the blank lines between sections; keep them as-is for readability.

If you use Template A (i.e., there are issues to fix) and at least one issue requires code changes, append a brief follow-up question after the structured output asking whether the user wants you to apply the suggested fix(es). For example: "Would you like me to use the Suggested fix section to address these issues?"

Template B (no issues)

## Code review
No issues found.
how to use frontend-code-review

How to use frontend-code-review 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-code-review
2

Execute installation command

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

$npx skills add https://github.com/langgenius/dify --skill frontend-code-review

The skills CLI fetches frontend-code-review from GitHub repository langgenius/dify 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-code-review

Reload or restart Cursor to activate frontend-code-review. Access the skill through slash commands (e.g., /frontend-code-review) 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

4.459 reviews
  • Mia Farah· Dec 28, 2024

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

  • Hiroshi Jain· Dec 24, 2024

    Keeps context tight: frontend-code-review is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ishan Shah· Dec 20, 2024

    frontend-code-review has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Mia Nasser· Dec 16, 2024

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

  • Emma Shah· Nov 19, 2024

    Keeps context tight: frontend-code-review is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Benjamin Taylor· Nov 15, 2024

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

  • Fatima Gonzalez· Nov 3, 2024

    frontend-code-review has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Zaid Ghosh· Oct 22, 2024

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

  • Noor Patel· Oct 10, 2024

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

  • Fatima Anderson· Oct 10, 2024

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

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