DeepSeek Harness Remote
DeepSeek Harness Remote 可將手機或另一台電腦與你運行 DeepSeek Harness 的電腦安全連接,隨時隨地繼續你的工作,方便隨時查看進度並繼續工作。
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正在載入完整 README。
檢視完整 README ↗Next.js 16 (App Router, static export-ready) build of the Meetmind landing page from Figma
(Frame 2147241524 in the Meetmind file).
npm install
FIGMA_TOKEN=figd_xxx npm run fetch-assets # one-time: pulls the photos from Figma into public/images
npm run dev # http://localhost:3000
npm run build && npm start # production
fetch-assets needs a Figma personal access token (Figma → Settings → Security → Personal access
tokens, scope "File content: read-only"). It downloads every raster image used on the page and
converts it to WebP. Icons and logos are already in public/icons and public/logos (exported
from the same file as SVG). Until the photos are fetched, image slots show a soft tint.
src/app/ layout (fonts, metadata), page, globals.css (tokens + all motion)
src/components/ one file per section, plus Pic (next/image wrapper) and Reveal (scroll observer)
src/lib/images.ts image manifest (paths + intrinsic sizes)
scripts/ fetch-figma-assets.mjs
data-reveal ("", "scale", "blur", "fade", "group") and an
optional --d delay. A single IntersectionObserver in Reveal.tsx toggles .is-in..anim-scope and only play while on screen.data-count="92" inside a revealed element.prefers-reduced-motion, and content is fully visible without JavaScript.Server components everywhere except the nav, FAQ accordion and the reveal observer. Local fonts
(Geist, Inria Serif italic, Caveat) with display: swap, AVIF/WebP via next/image, and only
compositor-friendly animations (transform/opacity). Lighthouse on the production build: desktop
performance 100; mobile (simulated slow 4G) 90+, CLS 0, accessibility 100, SEO 100.