Photoreal misty dawn shot of a small whitewashed monastery on cliff ledges with five strings of colorful prayer flags running to a rock spire, a turquoise river under a mist band in the gorge, and snow peaks glowing gold. Step 2 of the Himalayan Cliffside Monastery workflow.
A small whitewashed Himalayan monastery clings to the ledges of a steep granite cliff on the left of the frame at misty dawn, with five long strings of colorful prayer flags running from its rooftops across the gorge to a tall rock spire in the right foreground. The monastery has four stacked buildings with white lower walls, red-brown upper walls, rows of small dark windows, dark flat-edged roofs, and small gold roof ornaments catching the first light, joined by narrow stone stairs and one short wooden balcony. Thin incense smoke rises from a rooftop burner. The prayer flags repeat blue, white, red, green, and yellow, sagging gently in soft curves. Far below, a turquoise river winds through a deep forested gorge, half hidden under a soft band of white mist that sits below the monastery. Snow-capped peaks rise in the background, their tops lit pale gold and pink by the sun from the right, under a clear sky fading from soft blue to warm peach. Dark pines and juniper bushes cling to the rock. Photoreal travel and landscape photography, serene and airy mood. Wide landscape 16:9. No people, no text, no signs, no logos.
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.
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.
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.
