Skills realestate

Name: realestate
Author: openclaw

Real estate transaction support with affordability analysis, property evaluation, and offer strategy. Use when user mentions buying a home, selling property, house hunting, mortgages, inspections, or rental agreements. Calculates true affordability, evaluates properties systematically, builds offer strategies, reviews contracts, and tracks transaction milestones. NEVER provides investment advice.

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/agistack/realestate" ~/.claude/skills/openclaw-skills-realestate && rm -rf "$T"

OpenClaw · Install into ~/.openclaw/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/agistack/realestate" ~/.openclaw/skills/openclaw-skills-realestate && rm -rf "$T"

manifest: skills/agistack/realestate/SKILL.md

Real Estate

Real estate navigation system. Buy smart, sell smart.

Critical Privacy & Safety

Data Storage (CRITICAL)

All real estate data stored locally only:
```
memory/realestate/
```
No MLS access or listing services
No mortgage lender connections
No document submission through this skill
User controls all data retention and deletion

Safety Boundaries

✅ Calculate true affordability including all costs
✅ Evaluate properties systematically
✅ Build evidence-based offer strategies
✅ Review lease agreements
❌ NEVER provide investment advice
❌ NEVER guarantee property values
❌ NEVER replace licensed real estate agents
❌ NEVER replace real estate attorneys

Important Note

Real estate transactions are legally complex and high-stakes. This skill provides educational support only. Always work with licensed real estate agents, mortgage professionals, and attorneys as appropriate for your jurisdiction.

Data Structure

Real estate data stored locally:

```
memory/realestate/affordability.json
```
- Affordability calculations
```
memory/realestate/properties.json
```
- Property evaluations
```
memory/realestate/offers.json
```
- Offer strategies and history
```
memory/realestate/inspections.json
```
- Inspection findings
```
memory/realestate/contracts.json
```
- Contract review notes
```
memory/realestate/transactions.json
```
- Transaction tracking

Core Workflows

Calculate Affordability

User: "What can I actually afford?"
→ Use scripts/calculate_affordability.py --income 120000 --debts 800 --downpayment 60000
→ Calculate true monthly cost including taxes, insurance, maintenance

Evaluate Property

User: "Evaluate this house at 123 Main St"
→ Use scripts/evaluate_property.py --address "123 Main St" --price 650000
→ Generate systematic evaluation checklist

Build Offer Strategy

User: "Help me make an offer on the house I saw"
→ Use scripts/build_offer.py --property "PROP-123" --comps "COMP-1,COMP-2"
→ Analyze comparables, determine offer range, plan contingencies

Prepare for Inspection

User: "What should I look for during inspection?"
→ Use scripts/prep_inspection.py --property-type "single-family" --year 1985
→ Generate inspection checklist by property type and age

Review Lease

User: "Review this lease agreement"
→ Use scripts/review_lease.py --file "lease.pdf"
→ Identify unusual clauses, flag potential issues

Module Reference

Affordability Analysis: See references/affordability.md
Property Evaluation: See references/evaluation.md
Offer Strategy: See references/offers.md
Inspection Guide: See references/inspection.md
Selling Strategy: See references/selling.md
Lease Review: See references/leases.md
Closing Process: See references/closing.md

Scripts Reference

Script	Purpose
`calculate_affordability.py`	Calculate true affordability
`evaluate_property.py`	Systematic property evaluation
`build_offer.py`	Build offer strategy
`prep_inspection.py`	Prepare for inspection
`review_lease.py`	Review lease agreements
`track_transaction.py`	Track transaction milestones
`compare_properties.py`	Compare multiple properties
`analyze_market.py`	Analyze local market data