Decide which repairs and updates are worth doing before I sell
A prioritized prep list that separates fixes worth the money from projects that won't pay back, plus a decluttering and staging plan.
The prompt
Help me get my home ready to sell. This is step 1 of selling my home.
Home details: [type, size, age, bedrooms and bathrooms, location]
Known issues: [e.g. "leaky faucet, old roof, dated kitchen, scuffed walls"]
Budget and time for prep: [AMOUNT, WEEKS until I want to list]
Am I still living there? [yes / no, kids, pets]
Local market: [e.g. "homes sell fast", "buyers are picky"]
Do this:
1. Sort every item into: must fix (safety, things an inspector or lender will flag, visible water damage), worth doing (cheap fixes with big first-impression impact: paint, lighting, caulk, landscaping, deep clean), and probably skip (big remodels that rarely return their full cost before a sale).
2. For each item: rough cost range marked [CONFIRM with a local quote], time needed, and DIY or hire out.
3. Suggest whether a pre-listing inspection makes sense for my home.
4. Give me a room-by-room declutter and staging plan: what to remove, depersonalize, and highlight, plus curb appeal steps.
5. Plan how to keep the house show-ready while living in it (a 15-minute reset routine, where pets and kids go during showings).
Return: a prioritized table (Item | Category | Cost range | Time | Who), a week-by-week prep schedule, and a photo-day checklist. Keep it - next I'll choose a listing agent.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Thinking & Decisions prompts
What to fill in
- type, size, age, bedrooms and bathrooms, location
- e.g. "leaky faucet, old roof, dated kitchen, scuffed walls"
- AMOUNT, WEEKS until I want to list
- yes / no, kids, pets
- e.g. "homes sell fast", "buyers are picky"
- CONFIRM with a local quote
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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