ce-code-review

Name: ce-code-review
Availability: InStock
Author: KongHai

Automates code review of changes before pull request creation with structured findings and fixes.

Updated May 4, 2026

Search Tags:#quality assurance #code review #pull request #software development #automated fixes

Ready to run

npx skills add https://github.com/IAmKongHai/compound-engineering-plugin-zh --skill ce-code-review-iamkonghai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ce-code-review
Source: https://github.com/IAmKongHai/compound-engineering-plugin-zh/tree/main/3.4.2/skills/ce-code-review
Command: npx skills add https://github.com/IAmKongHai/compound-engineering-plugin-zh --skill ce-code-review-iamkonghai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, git, gh, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the code review process, providing structured findings and automated fixes for code changes.

Core Features & Use Cases

Structured Code Review: Automates code review using tiered persona agents, with confidence-gated findings and a merge/dedup pipeline.
Automated Fixes: Applies safe_auto fixes to code changes automatically.
Use Case: Use this Skill to review code changes before creating a pull request, ensuring quality and compliance with project standards.

Quick Start

Run the 'ce-code-review' skill with the PR link: ce-code-review [PR link]

Frequently Asked Questions about ce-code-review

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

FAQPage Schema

How do I automate code review before creating a pull request?▼

You can automate code review before a pull request by running the ce-code-review skill with a PR link. It evaluates code changes using tiered persona agents and provides structured findings based on confidence levels to ensure quality and compliance.

Can automated code review apply fixes to my code changes automatically?▼

Yes, automated code review can apply fixes to your code changes automatically. The process utilizes fixer scripts to apply safe_auto fixes directly to the evaluated code changes, resolving detected issues without manual intervention.

What is structured code review and how does it work with confidence levels?▼

Structured code review evaluates code changes using tiered persona agents, generating findings gated by confidence levels. It utilizes a merge and deduplication pipeline to consolidate results, ensuring structured and reliable quality assurance.

Do I need Python and Git installed to run automated code review?▼

Yes, you need Python, Git, and the GitHub CLI (gh) installed to run automated code review. These dependencies are required to execute the scripts, interact with version control, and process pull requests within the software development workflow.

What's the best way to ensure quality assurance in a software development pull request workflow?▼

The best way to ensure quality assurance in a pull request workflow is to automate code review before submission. This approach applies tiered persona agents and fixer scripts to identify issues and apply safe fixes, ensuring compliance with project standards.

Are there limitations to using confidence levels for automated code review findings?▼

Confidence levels in automated code review gate the findings and automated fixes applied to code changes. The system only applies safe_auto fixes based on these confidence thresholds, meaning low-confidence issues may be flagged but not automatically resolved.