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chuanyue98
chuanyue98COMMUNITY
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GitHub

review-frontend

Generate multi-role frontend Pull Request review feedback with line-level GitHub Suggestions.

Updated Apr 16, 2026
Search Tags:#pull request#github#silent failure#quality audit#test analysis#frontend code review#line-level suggestions
One-click install
npx skills add https://github.com/chuanyue98/prompt-gallery --skill review-frontend-chuanyue98
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-frontend
Source: https://github.com/chuanyue98/prompt-gallery/tree/main/.gemini/skills/web_review-frontend
Command: npx skills add https://github.com/chuanyue98/prompt-gallery --skill review-frontend-chuanyue98

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires subprocess, json, re, pathlib, typing, gh cli, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

This Skill solves the problem of producing reliable, multi-angle quality audits for frontend Pull Requests when teams need to catch architectural, spec, reliability, and test-related issues before merging.

Core Features & Use Cases

  • Role-based comprehensive review: Runs through 8 ordered expert perspectives covering coding standards, PR review rigor, project structure, JavaScript/Frontend correctness, spec compliance, silent-failure risks, test/coverage analysis, and comment quality.
  • Line-level GitHub Suggestions: Creates targeted single-line and multi-line review comments tied to the PR’s latest commit SHA via GitHub API.
  • Structured review summary posting: Generates a Markdown report and posts it back to the PR through the provided script, including required sections for consistent discovery.

Quick Start

Ask the AI to review a frontend PR in your repository and submit line-level suggestions plus a complete Chinese evaluation summary to that PR using this skill.

Frequently Asked Questions about review-frontend

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate frontend pull request code reviews with line-level suggestions on GitHub?▼

Automating frontend pull request code reviews involves running multi-role audits for project structure and JavaScript correctness, then posting line-level GitHub suggestions tied to the latest commit SHA. This skill generates a Markdown review summary and pushes targeted comments directly to the PR.

How can I detect silent failure risks in frontend code during a PR review?▼

Detecting silent failure risks during a PR review requires analyzing JavaScript correctness and spec adherence across the changed files. This skill applies an ordered expert perspective specifically dedicated to identifying silent failures and structural issues before merging.

Can I post multi-line review comments to a GitHub PR using the gh cli?▼

Posting multi-line review comments to a GitHub PR requires the latest commit SHA and the GitHub API. This skill utilizes the gh cli and a provided post-review script to deliver both single-line and multi-line suggestions directly to the frontend pull request.

What is the best way to audit frontend coding standards and test coverage in a pull request?▼

Auditing frontend coding standards and test coverage involves executing role-based checks for standards compliance and test analysis. This skill conducts a comprehensive quality audit across eight expert perspectives and consolidates the findings into a structured Chinese evaluation report.

Does this frontend code review skill modify local repository files?▼

This frontend code review skill does not modify local repository files. It strictly reads role definition files and frontend changes, then uses the GitHub API to post review feedback and line-level suggestions without altering your local workspace.

Why are my GitHub PR review comments posted in Chinese?▼

GitHub PR review comments are posted in Chinese because the skill is configured to generate the structured evaluation summary in that language. It reads the full role definition files to produce comprehensive multi-role feedback and posts the Chinese report back to the pull request.

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