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carllelandtaylor
carllelandtaylorCOMMUNITY
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review-loop-code

Automate iterative code review, fixing, and validation across commits.

Updated Jun 9, 2026
Search Tags:#code review#continuous improvement#automated testing#code validation#commit quality
One-click install
npx skills add https://github.com/carllelandtaylor/facto --skill review-loop-code
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-loop-code
Source: https://github.com/carllelandtaylor/facto/tree/main/plugins/facto/skills/review-loop-code
Command: npx skills add https://github.com/carllelandtaylor/facto --skill review-loop-code

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires model:opus, model:sonnet, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the iterative review, fixing, and validation cycles for code commits, ensuring quality and consistency with minimal human intervention.

Core Features & Use Cases

  • Automated Code Review: Reviews changes in commits using an AI model and validates against correctness, requirements, and project conventions.
  • Iterative Fixing: Addresses feedback and amends fixes into the appropriate commits.
  • Continuous Validation: Re-validates the code after each cycle to maintain quality standards.
  • Use Case: Ideal for large codebases where maintaining code quality is crucial, and manual reviews are time-consuming.

Quick Start

Run the review-loop-code skill with the command /facto:review-loop-code to initiate the automated review process.

Frequently Asked Questions about review-loop-code

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

FAQPage Schema
How do I automate code review for a series of git commits?▼

Automated code review for commits is handled by evaluating changes against correctness, requirements, and conventions, then iteratively fixing and validating the code until quality standards are met.

What's the best way to continuously validate code quality across multiple commits?▼

Continuous validation of commit quality is achieved by running an iterative loop that re-validates code after each review and fix cycle, ensuring changes consistently meet project guidelines.

How does iterative code fixing work in an automated review loop?▼

Iterative code fixing in an automated review loop works by having a model evaluate changes, address feedback, and amend fixes into the appropriate commits before re-validating the code.

Do I need a base commit reference to automate commit quality validation?▼

Yes, automated commit quality validation requires a base commit reference and HEAD, along with project guidelines and validation steps, to evaluate changes accurately.

Can I use automated review loops for large codebases where manual reviews are time-consuming?▼

Yes, automated review loops are ideal for large codebases where maintaining code quality is crucial and manual reviews are time-consuming.

What models are needed to run automated code validation and continuous improvement?▼

Automated code validation and continuous improvement requires the Opus and Sonnet models to evaluate code changes and iteratively fix issues against project conventions.

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