yolo（yolo 搜索）

Yolo Mode Automation Skill

This skill automates Lovable deployment workflows using Claude's browser automation capabilities.

When to Activate

This skill should be active when:

1. Yolo mode is enabled in CLAUDE.md (yolo_mode: on)
2. User runs deployment commands:

- /deploy-edge - Edge function deployment - /apply-migration - Database migration application

1. After git push to main (if auto_deploy: on):

- Automatically detect backend file changes - Trigger deployment without manual command

1. User mentions yolo automation:

- "use yolo mode" - "automate the Lovable prompt" - "submit this to Lovable automatically" - "browser automation"

Performance Optimization

Model Selection (Hybrid Approach)

For optimal speed + reliability, use different models for different tasks:

Use Haiku for:

• Clicking elements using refs (simple, deterministic)
• Form input operations (form_input tool calls)
• Key presses and simple navigation
• Waiting/polling operations
• Simple element finding with find tool

Use Sonnet for:

• Initial page understanding after navigation
• Error detection and recovery decisions
• Parsing Lovable's responses for success/failure
• Deciding next steps when something unexpected happens
• Complex page state analysis

Why this matters:

• Haiku is 3-5x faster for simple operations
• Sonnet provides better reliability for complex reasoning
• Hybrid approach gives best of both: speed + accuracy

Tool Preferences

Always prefer these tools:

• find and read_page over screenshots for element location
• form_input over click + type for input values
• ref parameters over coordinates for clicking
• DOM polling over screenshot-based monitoring

See references/automation-workflows.md for detailed implementation.

Core Functionality

1. Auto-Detection

When yolo mode is enabled, automatically detect when Lovable prompts are needed:

Edge Function Deployment:

• Files in supabase/functions/ modified
• Changes committed and pushed to main
• Deployment prompt generated

Migration Application:

• New files in supabase/migrations/
• Changes committed and pushed to main
• Migration prompt generated

See references/detection-logic.md for complete detection criteria.

1.5. Auto-Deploy After Git Push (NEW)

When auto_deploy: on is enabled, Claude automatically detects and deploys backend changes after a successful git push:

Trigger: Successful git push origin main

Detection:

1. Analyze files changed in the push
2. Check for supabase/functions/ or supabase/migrations/ changes
3. If backend files found AND auto_deploy enabled → trigger automation

Flow:

git push origin main [succeeds]
    ↓
Claude detects backend file changes
    ↓
Check: yolo_mode: on AND auto_deploy: on
    ↓
🤖 "Auto-deploy: Backend changes detected, starting deployment..."
    ↓
Execute browser automation
    ↓
Run verification tests
    ↓
Show deployment summary

Graceful Fallback: If auto-deploy fails for any reason:

• Show clear error message
• Provide manual prompt as fallback
• Never block the user

See references/post-push-automation.md for complete implementation.

2. Browser Automation Workflow

When a deployment is needed:

1. Navigate to Lovable

- Read lovable_url from CLAUDE.md - Open browser and navigate to project - Handle login if needed

1. Submit Prompt

- Locate chat input element - Type the generated Lovable prompt - Submit and confirm message sent

1. Monitor Response

- Wait for Lovable's response - Check for success indicators - Detect errors or warnings - Timeout after 3 minutes

See references/automation-workflows.md for detailed browser automation steps.

3. Testing & Verification

After successful deployment, run tests based on yolo_testing setting:

If yolo_testing: on (default):

• Level 1: Basic verification (check logs via Lovable)
• Level 2: Console error checking (monitor production URL)
• Level 3: Functional testing (test endpoints/queries)

If yolo_testing: off:

• Skip all testing
• Only confirm deployment success from Lovable response

See references/testing-procedures.md for complete testing workflows.

4. Debug Mode

When yolo_debug: on, provide verbose output:

🐛 DEBUG: Browser Automation

Step 1: Navigating to Lovable
  URL: https://lovable.dev/projects/abc123
  Wait for: Page load complete
  ✅ Success (1.2s)

Step 2: Locating chat interface
  Selector: textarea[data-testid="chat-input"]
  Wait for: Element interactable
  ✅ Found (0.3s)

Step 3: Typing prompt
  Text: "Deploy the send-email edge function"
  ✅ Typed (0.5s)

Step 4: Submitting
  Action: Press Enter
  ✅ Submitted (0.1s)

Step 5: Monitoring response
  Watching for: New message from assistant
  Timeout: 180s
  ✅ Response received (4.2s)

Response content:
"I'll deploy the send-email edge function now..."
[full response text]

Success keywords detected: ['deploy', 'function']
No error keywords found

Configuration in CLAUDE.md

The skill reads these fields from CLAUDE.md:

## Yolo Mode Configuration (Beta)

- **Status**: on
- **Auto-Deploy**: on
- **Deployment Testing**: on
- **Auto-run Tests**: off
- **Debug Mode**: off
- **Last Updated**: 2025-01-03 10:30:00

Configuration options:

• Status: Enable/disable yolo mode entirely
• Auto-Deploy: Auto-deploy after git push (no manual command needed)
• Deployment Testing: Run verification tests after deployments
• Auto-run Tests: Run project test suite after git push
• Debug Mode: Show verbose automation logs

And from Project Overview:

- **Lovable Project URL**: https://lovable.dev/projects/abc123
- **Production URL**: https://my-app.lovable.app

User Notifications

Progress Updates

Show real-time progress during automation:

Standard Mode (debug off):

🤖 Yolo mode: Deploying send-email edge function

⏳ Step 1/8: Navigating to Lovable project...
⏳ Step 2/8: Waiting for GitHub sync...
✅ Step 3/8: Sync verified - Lovable has latest code
✅ Step 4/8: Located chat interface
✅ Step 5/8: Submitted prompt
⏳ Step 6/8: Waiting for Lovable response...
✅ Step 7/8: Deployment confirmed
⏳ Step 8/8: Running verification tests...
✅ Step 8/8: All tests passed

Debug Mode (debug on): Include detailed logs with timing, selectors, and full responses.

Deployment Summary

After automation completes:

## Deployment Summary

**Operation:** Edge Function Deployment
**Function:** send-email
**Status:** ✅ Success
**Duration:** 45 seconds

**Automation Steps:**
1. ✅ Navigated to Lovable
2. ✅ Submitted deployment prompt
3. ✅ Received deployment confirmation

**Verification Tests:** (if testing enabled)
1. ✅ Basic verification: Deployment logs show no errors
2. ✅ Console check: No errors at production URL
3. ✅ Functional test: Function endpoint responds (200 OK)

**Production Status:**
- Function is live and responding
- No errors detected
- Ready for use

💡 Yolo mode is enabled. I'll continue automating deployments.
   Run `/yolo off` to disable.

Error Handling

All automation failures fall back gracefully to manual prompts:

Common Errors

Browser automation not available:

❌ Browser automation unavailable

Yolo mode requires the Claude in Chrome extension.

Install: https://chrome.google.com/webstore/detail/claude/...
Docs: https://docs.claude.com/claude/code-intelligence/browser-automation

Fallback - run this prompt manually in Lovable:
📋 "Deploy the send-email edge function"

Login required:

🔐 Please log in to Lovable

The browser opened to your Lovable project, but you're not logged in.
Please log in and I'll retry automatically.

Or run this prompt manually:
📋 "Deploy the send-email edge function"

UI element not found:

❌ Could not locate Lovable chat interface

The Lovable UI may have changed since this plugin was created.

Fallback - run this prompt manually in Lovable:
📋 "Deploy the send-email edge function"

💡 Please report this issue at:
   https://github.com/10kdigital/lovable-claude-code/issues

Timeout:

⏱️ Lovable hasn't responded after 3 minutes

The operation may still be processing.
Please check Lovable manually to verify status.

Prompt that was submitted:
📋 "Deploy the send-email edge function"

Deployment failed:

❌ Deployment failed in Lovable

Error from Lovable:
[captured error message]

Suggested fixes:
- Check function code for syntax errors
- Verify required secrets are set in Cloud → Secrets
- Review function logs in Lovable

Would you like me to:
1. Review the function code for issues
2. Check if secrets are documented in CLAUDE.md
3. Show you how to access logs in Lovable

Graceful Degradation

When automation fails:

1. Capture error details
2. Show user-friendly error message
3. Provide manual prompt as fallback
4. Suggest troubleshooting steps
5. Offer to disable yolo mode if errors persist

Never fail silently - always inform user and provide manual options.

Integration with Other Commands

/deploy-edge

When yolo mode is on, /deploy-edge automatically triggers browser automation:

[... existing deploy-edge logic ...]

## Deployment Execution

1. Check yolo mode status from CLAUDE.md

2. If `yolo_mode: on`:
   - Activate yolo skill
   - Execute browser automation workflow
   - Run tests based on `yolo_testing` setting
   - Report results

3. If `yolo_mode: off`:
   - Show manual prompt (current behavior)
   - Suggest enabling yolo mode

/apply-migration

Same pattern as deploy-edge for migration workflows.

/yolo

The /yolo command controls this skill:

• /yolo on - Enables skill by setting yolo_mode: on
• /yolo off - Disables skill
• Accepts flags: --testing, --no-testing, --debug

Beta Status & Limitations

Beta Warning

Yolo mode is in beta - users should be aware:

✅ What works well:

• Automated prompt submission
• Basic deployment verification
• Error handling with manual fallback

⚠️ Known limitations:

• Requires Claude in Chrome extension
• Lovable UI changes may break automation
• Testing adds 1-3 minutes per deployment
• User must be logged into Lovable
• Only works for edge functions and migrations (not tables, RLS, etc.)

When to Recommend Yolo Mode

✅ Good for:

• Frequent deployments (saves time)
• Users comfortable with browser automation
• Development workflows (fast iteration)

❌ Not ideal for:

• One-off deployments (manual is faster)
• Production deployments requiring extra review
• Users without Chrome extension
• Environments without browser access

Future Enhancements

Not yet implemented, but could be added:

1. Batch operations

- Deploy multiple edge functions at once - Apply multiple migrations in sequence

1. Rollback support

- Detect deployment failures - Offer to rollback via Lovable

1. Monitoring mode

- Periodically check logs - Alert on new errors

1. Custom test scripts

- User-defined test payloads - Stored in CLAUDE.md

1. Broader operation support

- Table creation - RLS policies - Storage buckets

Reference Files

This skill uses these reference documents:

1. references/automation-workflows.md

- Browser automation step-by-step - Lovable UI navigation - Element selectors and wait conditions

1. references/detection-logic.md

- When to trigger automation - File change detection - Integration with commands

1. references/post-push-automation.md (NEW)

- Auto-deploy after git push - Graceful fallback handling - User notification templates

1. references/testing-procedures.md

- Level 1: Basic verification - Level 2: Console checking - Level 3: Functional testing

Quick Reference

Check if Yolo Mode is Active

1. Read CLAUDE.md
2. Look for "Status: on" in Yolo Mode Configuration
3. If not found or "off", yolo mode is disabled

Check if Auto-Deploy is Enabled

1. Read CLAUDE.md
2. Check both "Status: on" AND "Auto-Deploy: on"
3. Both must be enabled for auto-deploy to trigger

Execute Automation

1. Confirm yolo_mode is on
2. Load automation-workflows.md
3. Execute navigation → submit → monitor workflow
4. Run tests if yolo_testing is on
5. Report results

Auto-Deploy After Git Push

1. Git push succeeds
2. Check for backend file changes (supabase/functions/, supabase/migrations/)
3. If changes found AND auto_deploy enabled:
   - Trigger automation automatically
   - Show: "🤖 Auto-deploy: Backend changes detected..."
4. If auto_deploy disabled:
   - Show notification only
   - Suggest running /deploy-edge or /apply-migration

Handle Errors

1. Try automation
2. If fails, capture error
3. Show error + manual fallback prompt
4. Never block user - always provide manual option
5. Suggest troubleshooting based on error type

*This skill enables hands-free Lovable deployments while maintaining safety through manual fallbacks and comprehensive testing.*