Photoreal sunrise scene: a red wooden canoe is tied to the end of a short weathered wooden dock that points out from the bottom center into a mirror-still alpine lake, with dark green pines on the left shore, golden-orange larches on the right, three jagged snow-capped peaks lit pink and gold in the center, low mist over the water, and a perfect reflection. Step 2 of the Alpine Lake Red Canoe at Autumn Sunrise workflow.
A red wooden canoe tied to the end of a short weathered wooden dock on a mirror-still alpine lake at autumn sunrise, with snow-capped peaks, dark green pines, and golden larches reflected in the water, wide landscape 16:9. The gray wooden dock points out into the lake from the bottom center of the frame, and the red canoe with wooden seats floats on the left side of the dock, tied to its end by a short chain. Low mist drifts just above the calm water. Dark green pines line the rocky left shore, and golden-orange autumn larches stand on the rocky right shore with dry grass. Three jagged snow-capped peaks rise in the center background, their faces lit pink and gold by the first sunrise light, under a pale clear sky with a soft warm glow near the horizon. The still lake holds a perfect reflection of the peaks and the trees. Low camera just behind the dock, photoreal landscape photography, crisp, calm, quiet morning 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.
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trigger conflicts, overlap, broken references, unsafe helper behavior, specification drift, context bloat, and outdated technology assumptions.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.
Splits shared costs for a group trip, house share, or event: equal, subset, weighted, or exact splits, mixed currencies with stated rates, and repayments already made, all in integer cents so totals match. Produces per-person balances and a short "who pays whom" list (at most one transfer fewer than people). Use when friends ask "who owes what?" after a trip or a shared house month. Includes a stdlib Python splitter with --self-test.
Tracks your loyalty points and miles balances, warns before they expire, and finds award trips worth more than cash for the routes you actually fly.
