Create a photorealistic 3D medical anatomy model render with customizable features including gender, view angle, target muscle group, and highlight color. The prompt ensures a wide-angle, full-body shot with a clean, seamless background and a focus on scientific accuracy and detailed textures.
1{2 "fixed_prompt_components": {3 "composition": "Wide angle full body shot, the entire figure is visible from head to toe, far shot, vertical portrait framing, centered and symmetrical stance",4 "background": "Isolated on a seamless pure white background, studio backdrop, clean white environment",5 "art_style": "Photorealistic 3D medical render, ZBrush digital sculpture style, scientific anatomy model aesthetics",6 "texture_and_material": "Monochromatic silver-grey skin with brushed metal texture, micro-surface details, highly detailed muscle striation, matte finish",7 "lighting_and_tech": "Cinematic rim lighting, global illumination, raytracing, ambient occlusion, 8k resolution, UHD, sharp focus, hyper-detailed"8 },9 "variables": {10 "gender": "male",11 "view_angle": "Front view",12 "target_muscle_group": "Pectoralis Major (Chest)",13 "highlight_color": "glowing cyan blue"14 },15 "negative_prompt": "text, infographic, chart, diagram, labels, arrows, UI, cropped image, close-up, macro shot, headshot, cut off feet, cut off head, partial body, grey background, gradient background, shadows on floor, blurry, low resolution, distortion, watermark"16}
Builds and reviews 5K to marathon running plans: a tested script checks weekly volume jumps, long run share and progression, hard and back-to-back days, rest and cutback weeks, peak timing, and taper, then the skill explains the risks in plain language and proposes a safer week-by-week plan.
Plans where every batch-cooked portion lives after a meal prep session: which stay in the fridge, which go in the freezer on prep day, when to move each to the fridge to thaw, and what goes on the labels, using conservative USDA fridge and freezer times. Flags meals planned past the use-by date, foods that do not freeze, shortfalls, leftovers and a full fridge. Includes a stdlib Python planner with --self-test.
Builds a day-by-day jet lag plan from flight times and your usual sleep hours. Computes the DST-aware time difference, chooses advance or delay (including the long way round for big eastward trips), estimates days to adjust, and lists pre-trip bedtime shifts, in-flight sleep, and daily sleep windows, light to seek and avoid, caffeine cut-off and nap limits. Flags short trips. Includes a stdlib Python planner with --self-test.
