Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Estimate property values using comps, income approach, and market analysis with adjustment calculations.
Estimate property values using comps, income approach, and market analysis with adjustment calculations.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
On first use, read setup.md for onboarding guidance.
User needs property value estimates. Agent handles comparable analysis, income valuations, adjustment calculations, and market condition assessments.
Memory at ~/property-valuation/. See memory-template.md for structure. ~/property-valuation/ ├── memory.md # Properties analyzed, market data └── valuations/ # Saved valuation reports
TopicFileSetup processsetup.mdMemory templatememory-template.md
Every estimate must specify which approach: Comparable Sales (Comps): Based on recent similar sales Income Approach: Based on rental income (Cap Rate) Cost Approach: Land value + construction cost - depreciation Most residential uses comps. Investment properties need income approach.
Before estimating, gather: Location (address or neighborhood) Property type (SFH, condo, multi-family) Size (sqft or sqm) Bedrooms/bathrooms Condition (excellent/good/fair/poor) Year built Lot size (if applicable) Missing data = wider value range.
When using comps, show adjustments: FactorAdjustmentExtra bedroom+3-5%Extra bathroom+2-3%Newer by 10 years+5-10%Superior condition+5-15%Larger lot+1-3% per 1000 sqftBetter location+5-20%Pool+2-5% (climate dependent) Document each adjustment applied.
Every valuation includes confidence: High: 3+ recent comps within 0.5 miles, similar specs Medium: 2-3 comps, some adjustments needed Low: Limited data, significant adjustments, unusual property
Current market conditions affect value: Seller's market: Values at high end of range Buyer's market: Values at low end Balanced: Use midpoint Note days on market and inventory levels if known.
Income approach formula: Property Value = Net Operating Income / Cap Rate NOI = Gross Rent - Operating Expenses (typically 35-45% of rent) Cap rates by property type (2024 averages): Multifamily: 5-7% Retail: 6-8% Office: 7-9% Industrial: 5-7% Lower cap rate = higher value = lower risk.
Always calculate and compare: Price/SqFt = Property Value / Living Area If result differs significantly from neighborhood average, explain why.
Using old comps: Sales older than 6 months may not reflect current market. Prefer recent sales. Ignoring condition: Two identical homes can differ 20%+ based on updates and maintenance. Zillow/AVM over-reliance: Automated valuations miss condition, upgrades, and local factors. Use as starting point only. Not adjusting for differences: Raw comps without adjustments mislead. Always adjust. Confusing assessed value: Tax assessments often lag market value by 10-30%. Ignoring days on market: Homes that sat long may have sold below market.
Data that stays local: Property details and valuations in ~/property-valuation/ No data sent externally This skill does NOT: Access real-time MLS data (user must provide comps) Connect to Zillow/Redfin APIs Store sensitive financial information
Install with clawhub install <slug> if user confirms: real-estate-skill — Real estate transactions financial-literacy — Financial concepts house — Home management
If useful: clawhub star property-valuation Stay updated: clawhub sync
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.