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ce-code-review

Orchestrate multiple reviewer personas to detect code issues and generate deduplicated reports.

Updated Jan 10, 2026
Search Tags:#automation#code-review#ai-agents#pull-request#parallel-agents#report-generation
One-click install
npx skills add https://github.com/KingInYellows/yellow-plugins --skill ce-code-review-kinginyellows
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ce-code-review
Source: https://github.com/KingInYellows/yellow-plugins/tree/main/RESEARCH/upstream-snapshots/e5b397c9d1883354f03e338dd00f98be3da39f9f/plugins/compound-engineering/skills/ce-code-review
Command: npx skills add https://github.com/KingInYellows/yellow-plugins --skill ce-code-review-kinginyellows

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates thorough code review by orchestrating multiple reviewer personas, enabling parallel sub-agents to surface edge cases, logic errors, and maintainability concerns, and then merges results into a single report.

Core Features & Use Cases

  • Multi-agent review: Spawns dynamic personas to cover correctness, performance, and style across changes.
  • Structured final report: Deduplicated findings merged into a single, actionable report suitable for PR review.
  • Use Case: Before merging a PR, run a complete cross-check to catch subtle bugs missed by single-person reviews.

Quick Start

Provide a target branch or PR to initialize the workflow and receive a consolidated review report.

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 for pull requests to catch logic errors?▼

Automate code review by orchestrating multiple AI reviewer personas to analyze pull requests, surfacing edge cases and logic errors. Parallel agents evaluate correctness and performance, merging findings into a single deduplicated report with actionable recommendations.

What is multi-agent code review and how does it work?▼

Multi-agent code review spawns parallel sub-agents representing different reviewer personas to check changes across branches or commits. These agents independently assess maintainability and style, then merge their structured findings into a consolidated, traceable final report.

How do I run a comprehensive code review across a standalone commit?▼

Run a comprehensive code review by providing the standalone commit diff context and a configurable intent. The workflow dynamically spawns reviewer personas to evaluate the changes and returns a merged report with deduplicated findings.

Can I use parallel AI agents to check maintainability issues before merging a branch?▼

Yes, you can use parallel AI agents to check maintainability issues before merging a branch. The process applies dynamic personas to the diff context, detects style and performance concerns, and outputs actionable recommendations suitable for PR review.

What is the best way to deduplicate findings from an automated PR review?▼

The best way to deduplicate automated PR review findings is using a multi-agent workflow that merges parallel sub-agent results. It consolidates overlapping edge cases and logic errors into a single structured report with traceable artifacts.

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