stevenwang15/dsh-taste-skill

Registers one native DeepSeek Harness skill, design-taste-frontend — an MIT port of tasteskill v2 — for designing, redesigning and reviewing landing pages, marketing sites, portfolios, product pages and app screens (dashboards, admin, settings, inboxes). Directions are dealt by script instead of improvised: three of 20 researched art directions, then the chosen direction's hero composition, section blueprints, type system, palette, photography set and motion entry, drawn from a library of 58 hero compositions, 185 section blueprints, 44 type systems, 56 palettes, 19 photography sets and 18 motion entries, remembering recent draws so consecutive projects do not converge. The house style is measured, not asserted — a static lint plus a real-browser inspector at 1440/768/390 checking headline lines, type, colour, rules, shadows, gradients, contrast and overflow — and the agent then iterates on its own screenshots against a juror's rubric, up to three rounds. Openly licensed photos come with title, author and licence recorded for attribution. Node 22+; Chrome/Edge/Chromium only for the visual checks, and without one it falls back to the static lint and says so.