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Frontend Code Review

  • 49 installs
  • 283 repo stars
  • Updated June 28, 2026
  • pageai-pro/ralph-loop

This is a copy of frontend-code-review by langgenius - installs and ranking accrue to the original listing.

Helps with frontend development tasks during AI-assisted development.

About

frontend-code-review is a Claude Code skill for frontend development. It helps solo builders move faster with AI-assisted coding.

  • frontend-code-review
  • Frontend Development
  • AI-coding skill

Frontend Code Review by the numbers

  • 49 all-time installs (skills.sh)
  • +1 installs in the week ending Jul 26, 2026 (Skillselion tracking)
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/pageai-pro/ralph-loop --skill frontend-code-review

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Listed on Skillselion
Installs49
repo stars283
Last updatedJune 28, 2026
Repositorypageai-pro/ralph-loop

What it does

Helps with frontend development tasks during AI-assisted development.

Files

SKILL.mdMarkdownGitHub ↗

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, 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.

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