← ClaudeAtlas

yololisted

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.
aiskillstore/marketplace · ★ 329 · AI & Automation · score 79
Install: claude install-skill aiskillstore/marketplace
# 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