Summary Pixel2Motion automates the transformation of raster logos into smooth SVG animations and interactive HTML demos. It targets designers and developers, streamlining brand motion workflows by generating developer-friendly animation assets and robust motion QA evidence from static logos.

How It Works The skill converts raster logos (PNG, JPG, WebP) into clean, motion-ready SVG via an AI-assisted pipeline. A core methodology involves rigorous static fitting, meticulously comparing a vector candidate against the raster source for accuracy, prioritizing smoothness and structure. Motion is then authored onto this verified semantic SVG, producing structured SVG, CSS choreography, dependency-free HTML showcases with playback controls, and detailed motion QA evidence.

Quick Start & Requirements Requires Python 3.10+, Pillow, NumPy, and Playwright. Installation involves pip install pillow numpy playwright within a Python virtual environment, followed by playwright install chromium. Chrome/Chromium is needed for rendering; CHROME_BIN may be required. A live interactive demo is available at https://nolangz.github.io/pixel2motion/.

Highlighted Details

• Comprehensive deliverables include structured logo.svg, motion.css choreography, logo_motion.html showcase with playback/QA hooks, and extensive motion QA evidence outputs.
• Features rigorous QA via geometry overlays and motion continuity probing for complex animations, ensuring fidelity against the original raster.
• Provides detailed workflow scripts for fitting, auditing curves, generating HTML, capturing frames, and probing motion continuity.

Maintenance & Community Associated with "Nolanlai." A "Vibe-Creators" community is mentioned via QR code, suggesting an active creator ecosystem. Specific community channel links or a roadmap are not detailed.

Licensing & Compatibility The provided README text does not specify a license. Users must verify licensing terms, as reuse rights are not explicitly granted. Designed for HTML animation workflows.

Limitations & Caveats The absence of a clear LICENSE file is a significant adoption blocker, leaving reuse rights ambiguous. Setup requires specific browser and Playwright installations. Potential edge cases or unsupported logo types are not explicitly enumerated.