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frontend-code-review

by @langgeniusv
4.5(27)

Specializes in frontend code review, ensuring code quality and standards, supporting agent-based workflow development, and improving project reliability and collaboration efficiency.

code-reviewfrontend-best-practiceslintingstatic-analysispull-requestsGitHub
Installation
npx skills add langgenius/dify --skill frontend-code-review
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Before / After Comparison

1
Before

Manually conducting frontend code reviews is time-consuming and labor-intensive, easily misses potential issues, affects code quality and project progress, and makes it difficult to maintain consistent review standards.

After

This skill automates frontend code reviews, quickly identifying potential errors, style issues, and performance bottlenecks, significantly improving code quality and team collaboration efficiency.

SKILL.md

frontend-code-review

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.

Weekly Installs3.2KRepositorylanggenius/difyGitHub Stars133.3KFirst SeenJan 20, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykFailInstalled onclaude-code2.3Kopencode1.7Kgemini-cli1.7Kcursor1.6Kcodex1.6Kgithub-copilot1.4K

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Installs7.6K
Rating4.5 / 5.0
Version
Updated2026年5月22日
Comparisons1

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Compatible Platforms

🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

Timeline

Created2026年3月17日
Last Updated2026年5月22日