Photoreal night interior of the same cedar observatory cabin: desk with star charts and a red lamp, telescope eyepiece to the white dome hatch, cast-iron wood stove with stovepipe, leather armchair, and two amber front windows framing the mountain ridge and Milky Way. Step 3 of the Mountain Observatory Cabin workflow.
Interior room of a small cedar observatory cabin at night: walls and ceiling of warm vertical cedar boards matching the exterior, a wooden desk with open star charts and a red-glowing desk lamp, a telescope eyepiece and black telescope tube angled up through a ceiling hatch into the white hemispherical dome above, and a small black cast-iron wood stove with orange firelight and a black steel stovepipe. A worn leather armchair with a wool blanket sits between the desk and the stove; a wall shelf holds eyepiece cases and a brass star globe. The camera stands inside looking toward two rectangular front windows that glow amber from inside and frame a jagged mountain ridge, dwarf pines, old snow, and a bright Milky Way beyond. Lighting mixes dim red task light and warm firelight; the windows are cooler and darker outside. Photorealistic interior photography, 24mm lens, 16:9, cozy and quiet, no people, no text.
Works out how much paint to buy for one or more rooms and what it will cost. Measures walls (minus doors and windows) and ceilings, applies coats, coverage, texture and waste, adds up each paint across rooms, and picks the cheapest can mix with little left over. Flags dark-to-light changes and new plaster that need primer, one-coat plans, suspicious coverage or heights and big leftovers. Includes a stdlib Python estimator 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trigger conflicts, overlap, broken references, unsafe helper behavior, specification drift, context bloat, and outdated technology assumptions.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.
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.
