yomo

🥈Silver

YoMo is a serverless AI agent framework with geo-distributed edge AI infrastructure. It enables real-time, low-latency automation for operations teams. Connects to OpenAI, Claude, and other AI models for distributed cloud workflows.

1,8961400Updated 4d ago

Intermediate30min to implementautomation

Saves ~190 min per use

Quick InstallView Source

git clone https://github.com/yomorun/yomo.git

Works with:

Claude

Overview

About This Skill

https://yomo.run/

How to Use

1. Define the specific metric you want to monitor and the geographic regions relevant to your operations. 2. Set clear conditions and actions for your workflow. Be specific about what triggers an alert and what automated response should occur. 3. Choose the AI model that best fits your needs for generating content or analysis. Consider factors like cost, response time, and the complexity of the task. 4. Implement robust error handling to ensure your workflow can recover from common issues. Include retries, fallbacks, and logging to help diagnose problems. 5. Deploy your workflow to YoMo's edge infrastructure to ensure low-latency response times. Test your workflow thoroughly to ensure it behaves as expected in real-world conditions.

Use Cases

Automate real-time weather information retrieval for user queries.

Build AI agents that provide personalized recommendations based on user preferences.

Create chatbots that can handle customer inquiries with low latency responses.

Implement serverless AI functions for processing streaming data in real-time.

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/yomorun/yomo

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

Create a YoMo workflow to monitor [SPECIFIC_METRIC] across [GEOGRAPHIC_REGIONS] in real-time. Trigger an alert when [CONDITION] is met, and automatically execute [ACTION] using [AI_MODEL]. Include error handling for [POTENTIAL_ISSUES].

Example Output

Workflow Name: Real-Time Server Uptime Monitor

Description: This YoMo workflow monitors server uptime across three regions (North America, Europe, and Asia) and triggers automated responses based on predefined conditions.

Triggers:
- Monitor server uptime every 5 minutes
- Check for uptime below 99.5% in any region

Actions:
- If uptime drops below 99.5% in North America, trigger a Slack alert to the North America Operations team
- If uptime drops below 99% in any region, use Claude to draft an incident report and send it to the global operations mailing list
- If uptime remains below 95% for more than 30 minutes, use OpenAI to generate a troubleshooting guide and send it to the on-call engineer

Error Handling:
- If the monitoring service fails, retry the check after 1 minute
- If the AI model fails to generate a response, fall back to a pre-written template
- If the alert fails to send, log the error and retry after 5 minutes

Deployment:
- Deployed to YoMo's edge infrastructure in each region for low-latency response
- Connected to OpenAI and Claude for AI-generated content
- Integrated with Slack and email for alerting and reporting