算法艺术创作
algorithmic-art
通过代码和可调参数创作生成艺术与交互式视觉效果。
observational-pen-wash【设计与创意】Turn uploaded photos into full-canvas 3:4 observational pen-and-wash posters. Use for minimal sketchbook studies, airy pen wash, rhythmic linework, or when this skill is invoked.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Extract only the source image's most recognizable subject, contour, pose, and narrative relationship. Keep the visual clues worth recording, using the minimum information required for immediate recognition while preserving evidence of observation, omission, and stopping.
Extract only 2–4 identifying colors from the source and apply them as sparse, thin, transparent washes. Allow slight overrun, water marks, granulation, and uneven coverage. Let environmental color disappear quickly; never paint a complete watercolor background.
Derive the paper tone from the source image's temperature, light, and mood. Keep it extremely pale, clean, and nearly white—slightly warm, cool, or faintly tinted, but never an obvious colored background.
Do not predefine title, numbering, location, year, or language. Derive only a few meaningful words, a short phrase, or symbols from the subject, action, environment, mood, sound, sense of time, memory, or incidental detail. Place text lightly along contours, gaze, motion, or unfinished edges, like an accent, pause, or echo. Prefer sparse, offset, light, clever placement over an information panel.
The result should resemble a carefully edited private observation notebook: minimal, boldly spacious, compositionally alert, free in line but never chaotic, locally improvised and globally restrained. Avoid visible source photography, collages, complete watercolor landscapes, evenly distributed composition, filled backgrounds, over-rendering, decorative brushwork, heavy black outlines, vector lines, cartoons, 3D rendering, menu-like typography, and commercial poster templates.