Photoreal arctic night: three glass-domed igloo cabins glowing with warm golden light in deep snow, the largest with a lit door and cozy furniture inside, a footprint trail and a wooden signpost with blank arrows, snow-laden spruces on both sides, and a vivid green and violet aurora swirling across a starry sky. Step 2 of the Glass Igloos Under the Northern Lights in Lapland workflow.
Glass-domed igloo cabins glowing with warm golden light in deep fresh snow among heavily snow-laden spruce trees under a swirling green and violet aurora in Lapland at night, wide landscape 16:9, seen from eye level. The largest glass igloo stands on the right-center with a metal-framed dome, a lit glass door, and a cozy bed and armchairs visible inside, resting on a snowy base. Two smaller glowing glass igloos sit further back, one on the far left and one in the center, half-hidden between the trees. A trail of footprints runs through the deep snow from the bottom center of the frame toward the big igloo. A wooden signpost with three blank arrow boards stands in the snow on the right, just in front of the big igloo. Tall spruces thick with snow frame both sides, with a dark forest line behind. The upper half of the sky is filled with a vivid green and violet aurora swirling in a wide arc, over a deep blue sky full of stars. Cold blue snow against warm amber cabin light, photoreal long-exposure night travel photography, magical, peaceful, and cozy mood. No people, no text, no logos.
A disciplined implementation workflow for coding agents. Guides agents to inspect repository state before editing, preserve unrelated changes, plan substantial work before implementation, keep changes narrowly scoped, run relevant verification, and create concern-scoped commits only when authorized. Designed for implementation, bug fixing, refactoring, and remediation tasks across software projects.
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trigger conflicts, overlap, broken references, unsafe helper behavior, specification drift, context bloat, and outdated technology assumptions.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.
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.
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.
