implement-review-fix

Automate code review and implementation cycles across multiple LLMs.

10|Updated Mar 31, 2026

Search Tags:#code review #CI/CD #software development #code fixing #LLM collaboration

Ready to run

npx skills add https://github.com/verivus-oss/llm-cli-gateway --skill implement-review-fix

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: implement-review-fix
Source: https://github.com/verivus-oss/llm-cli-gateway/tree/main/.agents/skills/implement-review-fix
Command: npx skills add https://github.com/verivus-oss/llm-cli-gateway --skill implement-review-fix

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the multi-LLM collaboration process for implementing code changes, reviewing them, and iterating until quality standards are met, significantly reducing manual review effort.

Core Features & Use Cases

Multi-LLM Collaboration: Supports Claude, Codex, Gemini, Grok, and Mistral for code review and implementation.
Automated Code Fixing: Automates the implementation and fixing cycles, reducing the need for manual code adjustments.
Use Case: Ideal for teams using CI/CD pipelines to quickly identify, review, and fix issues in code before deployment.

Quick Start

Activate the 'implement-review-fix' skill with the following command: implement-review-fix "feature_name"

Frequently Asked Questions about implement-review-fix

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

FAQPage Schema

How do I automate code review and fixing in CI/CD pipelines using multiple LLMs?▼

Automating code review and fixing in CI/CD pipelines is achieved by configuring multiple LLMs to iterate implementation and review cycles until code achieves unconditional approval. You need to configure LLM services and permissions for Claude, Codex, Gemini, Grok, and Mistral to handle respective stages.

What is multi-LLM collaboration for code review and how does it work?▼

Multi-LLM collaboration for code review works by distributing implementation, review, and iteration tasks across Claude, Codex, Gemini, Grok, and Mistral. It automates a structured cycle where models generate code, review it, and handle fixes until quality standards are met.

Do I need API access to specific LLMs to run automated code fixing cycles?▼

Yes, running automated code fixing cycles requires API access and configuration permissions for specific LLMs. The workflow mandates using Codex, Claude, Gemini, Grok, and Mistral to manage their respective implementation, review, and iteration stages.

Can I use this automated code review approach for continuous integration workflows?▼

Yes, this automated code review approach is designed for continuous integration workflows. It streamlines the process of identifying, reviewing, and fixing issues in code before deployment by automating the implementation and iteration cycle.

What are the limitations of multi-LLM code review and fixing cycles?▼

The primary limitation of multi-LLM code review cycles is the strict dependency on configuring five distinct LLM services—Codex, Claude, Gemini, Grok, and Mistral. Without proper permissions and access to all specified models, the structured review and iteration cycle cannot execute.

How do I start an automated code implementation and review cycle?▼

To start an automated code implementation and review cycle, activate the skill using the command `implement-review-fix "feature_name"`. Ensure all required LLM services and permissions are configured beforehand to manage the implementation, review, and iteration stages.