Afrexai Real Estate Engine
Skill by 1kalin
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/1kalin/afrexai-real-estate-engineWhat This Skill Does
The Afrexai Real Estate Engine is a comprehensive toolkit designed to streamline the property investment lifecycle. It provides users with a standardized framework for analyzing markets, evaluating specific investment opportunities, and managing ongoing operations. By leveraging a structured investment criteria YAML schema, this agent helps users maintain discipline, avoid emotional buying, and compare deals objectively. It covers diverse strategies including Buy & Hold, BRRRR, Fix & Flip, and Short-Term Rentals, providing both theoretical frameworks and actionable calculation logic.
Installation
To integrate this engine into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/1kalin/afrexai-real-estate-engine
Use Cases
- Portfolio Optimization: Use the tool to stress-test your existing properties against current market conditions and determine if your assets still meet your yield requirements.
- Market Scoring: Deploy the Market Analysis Framework to grade potential expansion cities based on employment data, population trends, and landlord-friendliness metrics.
- Deal Underwriting: Feed property details into the engine to calculate Cap Rate, Cash-on-Cash return, and monthly cash flow to quickly identify whether a deal is a 'go' or a 'no-go'.
Example Prompts
- 'Run an investment analysis on a triplex in Austin, Texas, using my criteria where I need a minimum 8% cash-on-cash return.'
- 'Compare the profitability of a Fix & Flip strategy versus a Buy & Hold rental strategy for a property priced at $350k in the 75201 zip code.'
- 'Based on the Market Analysis Framework, score Dallas and Phoenix as potential secondary markets for a BRRRR strategy.'
Tips & Limitations
- Input Data: The quality of the output depends entirely on the accuracy of your input data. Always verify property tax rates and insurance quotes independently.
- Market Volatility: While the engine provides excellent quantitative structure, it cannot predict sudden legislative changes in landlord-tenant laws or macroeconomic black swan events.
- Consistency: Use the YAML criteria block consistently for every deal to build a historical repository of your investment performance.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-1kalin-afrexai-real-estate-engine": {
"enabled": true,
"auto_update": true
}
}
}