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ai-critic

Fetches and applies AI-generated code review suggestions from pair-review.

48|18|Updated Aug 30, 2025
Search Tags:#code quality#automation#developer tools#code review#ai feedback#pair-review
One-click install
npx skills add https://github.com/in-the-loop-labs/pair-review --skill ai-critic
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-critic
Source: https://github.com/in-the-loop-labs/pair-review/tree/main/plugin/skills/ai-critic
Command: npx skills add https://github.com/in-the-loop-labs/pair-review --skill ai-critic

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps you efficiently incorporate AI-generated code review suggestions into your codebase, ensuring that valuable feedback is acted upon and improving code quality.

Core Features & Use Cases

  • Fetch AI Suggestions: Retrieves AI-generated code review comments and suggestions from the pair-review tool.
  • Contextual Review: Determines whether to apply feedback to a local uncommitted change or a GitHub Pull Request.
  • Actionable Feedback: Allows you to review, triage, and apply valid AI suggestions, making code changes directly.
  • Use Case: After an AI coding agent has generated code, use this Skill to automatically fetch and apply relevant review suggestions, streamlining the iteration process.

Quick Start

Use the ai-critic skill to address the latest AI feedback in the current branch.

Frequently Asked Questions about ai-critic

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

FAQPage Schema
How do I apply AI code review suggestions to my local uncommitted changes?▼

To apply AI code review suggestions to local uncommitted changes, fetch and triage actionable feedback from pair-review. The tool scopes to local diffs, allowing you to process suggestions based on AI confidence and directly modify your code.

What is the process for incorporating AI feedback into a GitHub Pull Request?▼

Incorporating AI feedback into a GitHub Pull Request involves fetching review comments from pair-review. The tool scopes to your active PRs, retrieves identified issues, and helps you apply valid AI code suggestions directly to the branch.

Do I need git to fetch and apply AI code review comments?▼

Yes, you need git installed to fetch and apply AI code review comments. The tool requires git and pair-review context to determine the review scope, identify local uncommitted changes or active PRs, and fetch actionable feedback for code modification.

Can I triage AI code review feedback based on confidence levels before applying it?▼

Yes, you can triage AI code review feedback based on confidence levels before applying it. The tool processes suggestions retrieved from pair-review based on AI confidence and your own judgment, ensuring only valid modifications are applied to your codebase.

What's the best way to automate fixing issues found by an AI coding agent?▼

The best way to automate fixing issues found by an AI coding agent is using a dedicated review iteration tool. This skill fetches AI-generated suggestions from pair-review, allowing you to review, triage, and apply valid modifications directly to streamline the iteration process.

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