# Pretty Messy

> A light, playful page for weighing 1 lovely-but-messy thing or habit - a white sofa, a jigsaw on the dining table, glitter nails at home. You list up to 8 rows, each a delight or a mess, with how big it feels (tiny 1 to huge 5) and how often it happens (rarely 1 to most days 4). The page weighs delights against messes by a fixed rule, picks the verdict (sweep and keep, prune back, replant), names what you love most and the worst mess, and draws a flowering tree: delights as bloom clusters in the canopy, messes as petal piles on the path, the verdict on a hanging wooden tag. One metered run states the problem, lays out 3 distinct ways out and recommends the page's pick.

URL: https://pretty-messy.skillsafe.ai/
API: https://pretty-messy.skillsafe.ai/api.html

## Contract
- One task: `mess-weigh`. Input fields (all strings): task, thing, tried, rows (1 line per row with its side, size, how often and weight), facts (delight total, mess total, verdict, main delight, worst mess).
- Reply: JSON with verdict, problem, options[] (kind, title, keeps, costs, first_step - always sweep, prune, replant in that order), recommendation, closing.

## Rule
Each row's weight is size times how often. Delights and messes are summed. Checked in order: 4 x delights >= 5 x messes -> sweep (keep it, add a small routine for the worst mess); 5 x delights >= 4 x messes -> prune (keep a smaller or lighter version); otherwise -> replant (get the main delight another way). The heaviest row on each side is what you love most and the worst mess; the earlier row wins a tie.

## Safety
Never mix cleaning products; clear anything slippery or sharp first. Everyday tidying talk, not professional advice.

## Sources
- Skill: @timschoch/1-3-1 on SkillSafe (https://skillsafe.ai/skill/@timschoch/1-3-1).