What are the requirements to use Yolo Mode?

This skill requires the Claude in Chrome extension enabled and an active login session on Lovable.dev to perform browser automation tasks.

Does it support automatic deployments after a git push?

Yes, when 'auto_deploy' is set to on in your CLAUDE.md, the skill detects backend changes after a git push and triggers the deployment automatically.

How do I toggle Yolo Mode on or off?

You can use the /yolo on or /yolo off commands, or manually update the yolo_mode status in your project's CLAUDE.md file.

Which models are used during the automation process?

The skill uses a hybrid approach: Claude Haiku handles fast, deterministic UI tasks like clicking and typing, while Claude Sonnet handles page analysis and error recovery.

What happens if the browser automation fails?

The skill includes a graceful fallback mechanism. If an element isn't found or a timeout occurs, it provides the exact prompt for you to copy and paste manually into Lovable.

Yolo Mode for Lovable

Name: Yolo Mode for Lovable
Author: 10K-Digital

by10K-Digital

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Browser Automation

Automates Lovable deployment workflows and database migrations using browser automation for hands-free production updates.

About

The Yolo Mode skill empowers developers to bypass manual UI interactions by automating the entire Lovable deployment cycle within Claude Code. By leveraging browser automation, the skill detects changes to Edge Functions or database migrations and automatically navigates to Lovable.dev to submit deployment prompts, monitor responses, and verify success. It utilizes a hybrid model strategy—employing Claude Haiku for rapid UI actions and Claude Sonnet for complex state analysis—to deliver a fast, reliable, and production-ready CI/CD experience directly from the terminal.

Key Features

Automated browser navigation and prompt submission to Lovable.dev
Post-push auto-deployment for Edge Functions and migrations
Hybrid model optimization using Haiku for speed and Sonnet for reliability
Multi-level verification testing for production health checks
Graceful fallback to manual prompts with detailed debug logs
3 GitHub stars

Use Cases

Automating Edge Function deployments immediately after local code changes
Syncing and applying Supabase database migrations to Lovable projects
Implementing a hands-free terminal-to-production workflow for rapid iteration

About

Key Features

Automated browser navigation and prompt submission to Lovable.dev
Post-push auto-deployment for Edge Functions and migrations
Hybrid model optimization using Haiku for speed and Sonnet for reliability
Multi-level verification testing for production health checks
Graceful fallback to manual prompts with detailed debug logs
3 GitHub stars

Use Cases

Automating Edge Function deployments immediately after local code changes
Syncing and applying Supabase database migrations to Lovable projects
Implementing a hands-free terminal-to-production workflow for rapid iteration