ce-review

Analyze Pull Request code for security, performance, and architectural issues.

1|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/JimmyChen-NXP/zephyr-team-activity-dashboard --skill ce-review-jimmychen-nxp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ce-review
Source: https://github.com/JimmyChen-NXP/zephyr-team-activity-dashboard/tree/main/.github/skills/ce-review
Command: npx skills add https://github.com/JimmyChen-NXP/zephyr-team-activity-dashboard --skill ce-review-jimmychen-nxp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates and enhances the code review process by leveraging multi-agent analysis, deep thinking, and local code inspection to identify potential issues across various dimensions like security, performance, and architecture.

Core Features & Use Cases

  • Exhaustive Code Reviews: Performs in-depth analysis of code changes.
  • Multi-Agent Analysis: Utilizes specialized agents for different review perspectives (security, performance, etc.).
  • Deep Local Inspection: Employs Git worktrees for isolated and thorough examination of code.
  • Use Case: When a Pull Request is submitted, this Skill can automatically review it, identify critical security vulnerabilities, suggest performance optimizations, and ensure adherence to architectural best practices, generating detailed findings and actionable todos.

Quick Start

Use the ce-review skill to perform an exhaustive code review on the latest commit in the current branch.

Frequently Asked Questions about ce-review

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

FAQPage Schema
How do I automate code review for a GitHub pull request?

Automate code review for a GitHub pull request by using a multi-agent analysis Skill that examines Git worktrees to identify security, performance, and architectural issues, generating detailed findings and actionable todos.

What is the best way to perform deep local inspection during code review?

Deep local inspection during code review is best performed by employing Git worktrees for isolated examination of code changes, allowing multi-agent analysis to thoroughly evaluate security and performance vulnerabilities.

Do I need Git and GitHub CLI installed to analyze pull request content?

Yes, you need Git and GitHub CLI installed and authenticated to analyze pull request content, as the Skill relies on these dependencies to access repository data and perform exhaustive local code reviews.

Can I check for security and performance issues automatically when a pull request is submitted?

You can check for security and performance issues automatically when a pull request is submitted by running multi-agent analysis that evaluates code changes and generates actionable todos for identified vulnerabilities.

How does multi-agent analysis improve architectural code review?

Multi-agent analysis improves architectural code review by deploying specialized agents for different review perspectives, ensuring thorough examination of code changes and strict adherence to architectural best practices.

What are the limitations of using Git worktrees for code analysis?

Limitations of using Git worktrees for code analysis include the strict requirement for specific analysis tools to be installed and authenticated, as the process cannot execute exhaustive local inspections without these dependencies.