What problem does it solve? Cloning a website usually fails because AI-generated reconstructions invent code instead of using the real source, fonts, images, and colors. This Skill enforces a source-first methodology: find or capture the real implementation, reverse-engineer it with evidence, then rebuild and verify it against the original. ## Core Features & Use Cases - Browser-Based Reconnaissance: Playwright scripts capture screenshots at three viewports, framework signals, computed color palettes, font faces, network requests, routes, and interaction states into a RECON/ evidence folder. - Asset Harvesting & Fidelity Gates: Downloads real images, fonts, and media (including CDN-protected assets) into local files, then audits the clone for self-hosted fonts, local images, and exact color matches with a strict exit-code gate. - WebGL/Canvas Reverse Engineering: Provides an evidence-grading discipline (SOURCE/PARTIAL/GUESS) and a baseline-first replay gate for reconstructing shader and canvas effects without guessing. - Use Case: A user asks to clone an award-winning Three.js marketing site. The Skill searches GitHub for source, runs recon and asset-harvest scripts, mirrors static build assets, rebuilds the project, then generates a comparison report and audit before delivery. ## Quick Start Ask the AI to clone a specific website URL using the web-clone skill, starting with project scaffolding and browser reconnaissance.