Score real estate leads and match them to Dubai properties.
npx skills add https://github.com/sahiixx/moltworker --skill dubai-realestate
Please help me install this Agent Skill. Skill: dubai-realestate Source: https://github.com/sahiixx/moltworker/tree/main/skills/dubai-realestate Command: npx skills add https://github.com/sahiixx/moltworker --skill dubai-realestate
Real estate teams waste time manually matching leads to properties, drafting outreach, and analyzing market data. This skill automates lead scoring, property matching, and outreach preparation to accelerate decision-making and conversions.
Run the scoring workflow on your leads file, then generate property matches and an outbound campaign. Example: node scripts/score-leads.js --input leads.json --export and then node scripts/client-match.js --segment CHAMPIONS --export. Then run node scripts/voice-campaign.js to generate outreach templates.
High-intent search queries and answers about installing and using this skill.
Automating Dubai real estate lead scoring and property matching requires processing local leads and property data through Node.js scripts to segment clients via RFM analysis and generate actionable property matches. You run deterministic workflows that score leads and export results to JSON or CSV.
RFM segmentation for real estate leads categorizes clients based on Recency, Frequency, and Monetary metrics to prioritize outreach. The skill evaluates your local leads data, scores clients into segments like CHAMPIONS, and matches them to available properties for targeted campaigns.
Generating outbound voice campaigns from Dubai property leads involves processing matched client segments to produce AI-powered voice and ROI-focused messaging templates. The skill creates multi-step campaign payloads and outreach templates ready for downstream systems without requiring external services.
Dubai real estate market analysis runs entirely within your local Node.js runtime environment and does not require external services or API keys. It relies on local data inputs for leads and properties, executing deterministic scripts to produce market analysis and exportable reports.
The best way to export real estate lead scoring results and campaign payloads is using the built-in export flag in the Node.js scripts. Running workflows with the export parameter generates structured JSON and CSV files containing scored leads, property matches, and campaign configurations.
MichaelSolatiEnforce a standardized directory structure and data freshness rules for client-related assets.
vruum-gtmOrchestrate B2B outreach campaigns with prospect segmentation and multi-channel scheduling.
Gundlapuriswathiii006Evaluate real estate properties for investment potential and fair market value.
MichaelSolatiScan real estate client pipelines and route users to specialized skills.
