HTML Page Review System
Team Collaboration · Zero Config · AI Assist
HTML Page Review System
Team Collaboration · Zero Config · AI Assist
Showcase
Description
What is this? Add a complete team review system for any HTML web page and HTML-based presentations (PPT), supporting multi-user collaborative annotations, AI smart suggestions, data persistence, and export. Core Features - Zero-configuration startup: automatically identifies all reviewable elements (web content, PPT slides, page-flip interactions, UX animations) in 30 seconds - Dual scenario support: Web review - landing pages, marketing pages, product pages, official websites; PPT review - HTML presentations, online slides, product launches, course handouts - Team collaboration: 5 preset roles (Product, Design, Frontend, Editor, Operations) with clear color-coded identification - AI smart suggestions: automatically generates improvement suggestions and related attributes based on comment content - Data never lost: IndexedDB auto-save, no loss on refresh - Import/Export: supports JSON format export, allows multiple rounds of iterative review - Structured data: export includes full metadata, AI can directly understand and process Use Cases - Web projects: team review of landing pages, marketing pages, product pages - HTML presentations: content and interaction review for product launches, online courses, marketing demos - Page-flip interaction optimization: review slide transitions, animations, UX experience - Compatible with mainstream tools: reveal.js, Slides.com, Google Slides exported HTML Technical Highlights - Shortcut support: Ctrl+E to enter review, Ctrl+S to export, Ctrl+I to import - Smart rule engine: automatically recommends improvement plans - Version history: supports multiple rounds of iterative review - Safe and reliable: local storage, no data upload
Recommended by
Nico@YouMind
Why we love this skill
This skill stands out, transforming any web page into a complete team review system with AI-assisted suggestions and zero-config automatic element recognition, making collaboration and iteration more efficient than ever.
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Information
- Version
- v4
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
