The Problem with Screenshots
Every AI-powered testing tool I've seen sends screenshots to the AI model. It works, but it's expensive:
- 100KB+ per screenshot
- Thousands of tokens to process
- Visual recognition needed to find elements
- 500ms-2s latency per analysis
Semantic Snapshots: A Better Way
What if instead of a screenshot, you sent the AI a structured description of every interactive element — its position, label, type, and state?
That's what semantic snapshots do. In 1ms, they extract the complete UI structure. The AI gets a machine-readable picture for a fraction of the token cost.
New: Form Validation Detection
The latest feature detects form validation rules automatically:
- Editor type: CodeMirror, Draft.js, Tiptap, ProseMirror, Quill
- Required empty fields: Which fields need to be filled
- Why buttons are disabled: Infers missing required fields
- Best input method: Recommends how to input text per framework
This means AI agents can fill and submit forms on the first try — no trial and error.
Try It
npx flutter-skill@latest
253 MCP tools, 10 platforms, 1ms latency.
Open source: github.com/ai-dashboad/flutter-skill
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