Photoreal dusk view from the deck of the same floating cedar teahouse: glowing shoji and dark tiled eaves on the left, paper and stone lanterns along the boards, a white rowboat, a long boardwalk over still blue-hour water, misty mountains and a red maple branch, restating the fixed design details of the morning view.
Photoreal photograph from the wide plank deck of a small floating cedar teahouse at lantern dusk, 16:9 landscape, camera at standing eye level beside the teahouse wall, looking out along the deck toward the lake. Key subjects first: the teahouse on the left edge with deep dark gray tiled eaves, warm honey-cedar posts and glowing pale shoji panels lit from inside, a low wooden table with two chairs on the deck, small paper lanterns glowing along the deck boards, two squat granite stone lanterns lit softly near the end of the deck, and a small white wooden rowboat resting on the far deck. Beyond, a long straight plank boardwalk runs out across still lake water at blue hour, reflecting the lantern glow, with layered blue-gray mountains in dusk silhouette, dark pine forest on the far shore, thin mist over the water, and a branch of red-orange autumn maple leaves at the upper edge. Same fixed design as the morning view: dark tiled hipped roof, cedar frame, shoji bays, stone lanterns, white rowboat, maple branch. Soft dusk light mixed with warm lantern glow, quiet contemplative mood, crisp wood grain, true colors. No people, no readable text, no neon, no watermark.
Works out how much paint to buy for one or more rooms and what it will cost. Measures walls (minus doors and windows) and ceilings, applies coats, coverage, texture and waste, adds up each paint across rooms, and picks the cheapest can mix with little left over. Flags dark-to-light changes and new plaster that need primer, one-coat plans, suspicious coverage or heights and big leftovers. Includes a stdlib Python estimator with --self-test.
Audits foreground/background color pairs for WCAG 2.x contrast (AA and AAA for normal and large text), reports ratios and pass/fail, and notes color-blindness risks. Use when checking UI palettes, design tokens, or asking "is this gray-on-white readable?". Includes a stdlib Python contrast checker with --self-test.
Create a feature testing page design for Enterprise WeChat/DingTalk focusing on address book management, calendar/schedule management, and message sending/receiving. The design should be user-friendly, sleek, and have a technological appeal.
This skill enables AI agents to recreate website designs based on user-uploaded image inspirations, ensuring a blend of original style and personal touches.
