multi-agent-ralph-loop

🥈Silver

Multi-Agent AI Orchestration with GLM-4.7, Claude, Codex, and Gemini. Quality gates, memory system, and 67 hooks. Automates complex workflows, ensures code quality, and integrates with CI/CD pipelines. Benefits operations teams by reducing manual oversight and improving process reliability.

83130Updated Today

Intermediate30min to implementautomation

Saves ~300 min per use

Quick InstallView Source

git clone https://github.com/alfredolopez80/multi-agent-ralph-loop.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/alfredolopez80/multi-agent-ralph-loop

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I want to create a multi-agent workflow using GLM-4.7 as the primary AI, with Claude, Codex, and Gemini as supporting agents. The workflow should involve [TASK], with the following quality gates: [QUALITY_GATES]. Please design a workflow with 67 hooks and a memory system to ensure continuity. Do not use MiniMax.

Example Output

# Multi-Agent Workflow for Market Research Analysis

## Workflow Design

- **Primary AI**: GLM-4.7
- **Supporting Agents**: Claude, Codex, Gemini
- **Task**: Conduct comprehensive market research for [COMPANY] in the [INDUSTRY] sector.

### Quality Gates
- **Data Accuracy**: 95% or higher
- **Insight Depth**: Minimum of 5 layers of analysis
- **Report Clarity**: Must pass readability tests

### Memory System
- **Short-term Memory**: Retains data for 24 hours
- **Long-term Memory**: Stores key insights for 6 months

### Hooks
- **Data Collection Hook**: 15 hooks for gathering data from various sources
- **Data Processing Hook**: 20 hooks for cleaning and processing data
- **Analysis Hook**: 15 hooks for in-depth analysis
- **Report Generation Hook**: 10 hooks for generating comprehensive reports
- **Quality Check Hook**: 7 hooks for ensuring data accuracy and report clarity

## Workflow Steps

1. **Data Collection**: GLM-4.7 will initiate data collection from various sources including [DATA SOURCES].
2. **Data Processing**: Claude will clean and process the data to ensure accuracy and consistency.
3. **Initial Analysis**: Codex will perform initial analysis to identify key trends and patterns.
4. **In-depth Analysis**: Gemini will conduct in-depth analysis to uncover deeper insights.
5. **Quality Check**: GLM-4.7 will perform a quality check to ensure data accuracy and report clarity.
6. **Report Generation**: Claude will generate a comprehensive report based on the analysis.
7. **Final Review**: GLM-4.7 will review the report and make any necessary adjustments.
8. **Memory Update**: The memory system will update with key insights for future reference.

## Expected Outcomes

- A comprehensive market research report for [COMPANY] in the [INDUSTRY] sector.
- Key insights and trends identified through in-depth analysis.
- A memory system updated with key insights for future reference.