frontend-code-review▌
langgenius/dify · updated May 26, 2026
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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
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:
- Pending-change review – inspect staged/working-tree files slated for commit and flag checklist violations before submission.
- 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
- Open the relevant component/module. Gather lines that relate to class names, React Flow hooks, prop memoization, and styling.
- For each rule in the review point, note where the code deviates and capture a representative snippet.
- 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 on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches frontend-code-review from GitHub repository langgenius/dify and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★59 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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