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krishna-cyber
krishna-cyberCOMMUNITY
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autoreview

Execute multiple AI review engines against code changes.

Updated Jul 2, 2026
Search Tags:#code review#AI#software quality#automated review#AI-powered insights
One-click install
npx skills add https://github.com/krishna-cyber/plate_js_rich_text_editor --skill autoreview-krishna-cyber
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: autoreview
Source: https://github.com/krishna-cyber/plate_js_rich_text_editor/tree/main/.agents/skills/autoreview
Command: npx skills add https://github.com/krishna-cyber/plate_js_rich_text_editor --skill autoreview-krishna-cyber

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires codex, claude, droid, copilot, pi, opencode, cursor, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the code review process, using AI to provide structured feedback on code changes, reducing human review time and improving code quality.

Core Features & Use Cases

  • Automated Code Review: Utilizes AI engines like Codex, Claude, and Droid to automatically review code changes.
  • Review Scenarios: Supports various review scenarios including commit, branch, and PR reviews.
  • Custom Reviewers: Offers configurable reviewers, including Codex, Claude, Droid, Copilot, Pi, Cursor, and OpenCode.
  • Model Customization: Allows setting specific models for each reviewer to adjust the level of detail and analysis.
  • Use Case: Before merging a pull request, run the autoreview Skill to get a structured review of the code changes and identify potential issues.

Quick Start

Run the autoreview Skill for a pull request with autoreview --mode branch --base origin/main.

Frequently Asked Questions about autoreview

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

FAQPage Schema
How do I automate code review for a pull request using AI?▼

Automate code review for a pull request by running the autoreview Skill against your code changes. It executes multiple AI engines to provide structured feedback and identify potential issues before merging.

What AI engines can I use for automated code analysis?▼

Automated code analysis supports configurable AI reviewers including Codex, Claude, Droid, Copilot, Pi, Cursor, and OpenCode. You can set specific models for each reviewer to adjust the level of detail.

Can I review a specific branch instead of a full pull request?▼

Yes, you can review a specific branch by running the command with the branch mode and specifying the base. This allows targeted automated code review of branch differences against your main branch.

Does automated AI code review work with existing software development workflows?▼

Automated AI code review integrates into software development workflows where automated code analysis is desired. It applies to commit, branch, and PR review scenarios to streamline the review process.

What is the best way to reduce human review time for code changes?▼

The best way to reduce human review time is to use AI-powered insights for structured feedback on code changes. Automating the code review process with multiple AI engines improves software quality and reduces manual effort.

Do I need specific AI tools installed to run an automated code review?▼

Yes, running an automated code review requires various AI engines like Codex, Claude, and Droid. These dependencies are necessary to execute the multiple AI-powered review engines against your code changes.

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