Photoreal blue-hour snowfall scene: a steaming rock-lined hot spring of clear teal water fills the foreground, framed by dark snow-capped rocks, with a small glowing stone lantern on the left, a larger one beside a two-storey wooden inn with snowy tiled roofs and warmly lit windows on the right, snow-laden pines, and a dark mountain slope under a deep blue sky. Step 2 of the Snowy Mountain Onsen at Dusk workflow.
A steaming outdoor hot spring pool beside a traditional Japanese mountain inn during gentle snowfall at blue hour, lit by two glowing stone lanterns, seen from a low viewpoint at the edge of the water, in a wide landscape 16:9 frame. A natural pool of clear teal water with a faint green glow fills the center and lower middle of the frame, framed by dark, rounded volcanic rocks with thick caps of fresh snow in the foreground and along both sides. Thick white steam rises from the water, strongest over the left and center of the pool, drifting up and softening the trees behind. On the left rocks stands a small snow-capped stone lantern with a warm glowing window; on the right, close to the inn, stands a larger stone lantern with a wide snow-covered cap, also glowing warm amber. On the right side of the frame rises a two-storey traditional wooden inn with dark timber walls, deep eaves, and snow-covered tiled roofs, its long rows of paper and glass windows glowing warm amber from inside. Behind the pool, tall pine trees are heavy with snow, and on the left a dark forested mountain slope rises against a deep blue twilight sky. Large soft snowflakes fall across the whole scene. Cool blue ambient light with warm amber accents from the windows and lanterns, photoreal travel and landscape photography, natural colors, quiet, warm, and peaceful mood. No people, no text, no logos.
Plans a day hike leg by leg. Estimates time with Naismith's rule and Langmuir's descent corrections, adjusted for terrain, fitness, pack weight and breaks, gives clock times for each leg, checks the finish against sunset and the latest safe start, and works out water to carry between refills and snacks to pack. Flags after-dark finishes, long dry stretches and hard terrain late in the day. Includes a stdlib Python planner with --self-test.
Compares commute options - car (fuel or EV), transit, bike, e-bike, walking, day-share mixes and park-and-ride legs - per month and year with cash cost, door-to-door time, time cost at your own hourly value, cost per trip and CO2. Picks pass vs pay-per-ride for the days you ride, separates car running costs from fixed costs, and shows the break-even value of an hour. Includes a stdlib Python calculator 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.
A read-only maintenance audit workflow for Agent Skills. Reviews existing skills for stale or version-sensitive guidance, trigger conflicts, overlap, broken references, unsafe helper behavior, specification drift, context bloat, and outdated technology assumptions. Verifies material freshness claims against authoritative sources and reports only evidence-backed maintenance findings without modifying the audited skills.
