yolo by aiskillstore
Browser automation skill for Lovable deployments. Activates when:- yolo_mode: on in CLAUDE.md- Running /deploy-edge or /apply-migration commands- After git push when auto_deploy: on (automatic detection)- Any mention of "yolo mode", "automate Lovable", "browser automation"Automatically navigates to Lovable.dev and submits deployment prompts.Runs verification tests based on configuration.Auto-deploys after git push when enabled.
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85 Stars
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Updated Jan 19, 2026, 04:39 AM
Why Use This
This skill provides specialized capabilities for aiskillstore's codebase.
Use Cases
- Developing new features in the aiskillstore repository
- Refactoring existing code to follow aiskillstore standards
- Understanding and working with aiskillstore's codebase structure
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License NOASSERTION
---
name: yolo
description: |
Browser automation skill for Lovable deployments. Activates when:
- yolo_mode: on in CLAUDE.md
- Running /deploy-edge or /apply-migration commands
- After git push when auto_deploy: on (automatic detection)
- Any mention of "yolo mode", "automate Lovable", "browser automation"
Automatically navigates to Lovable.dev and submits deployment prompts.
Runs verification tests based on configuration.
Auto-deploys after git push when enabled.
---
# 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
3. **After git push to main** (if `auto_deploy: on`):
- Automatically detect backend file changes
- Trigger deployment without manual command
4. **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
2. **Submit Prompt**
- Locate chat input element
- Type the generated Lovable prompt
- Submit and confirm message sent
3. **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:
```markdown
## 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:
```markdown
- **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:
```markdown
[... 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
2. **Rollback support**
- Detect deployment failures
- Offer to rollback via Lovable
3. **Monitoring mode**
- Periodically check logs
- Alert on new errors
4. **Custom test scripts**
- User-defined test payloads
- Stored in CLAUDE.md
5. **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
2. **`references/detection-logic.md`**
- When to trigger automation
- File change detection
- Integration with commands
3. **`references/post-push-automation.md`** (NEW)
- Auto-deploy after git push
- Graceful fallback handling
- User notification templates
4. **`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.*
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