Real Estate Master (Off-Plan Tracker) for Openclaw

A sophisticated simulation engine for tracking off-plan property installments, group-buy equity, and cash pool management.

binkl69
v1.0.1
Mar 7, 2026
0
844
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install re-master

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install re-master using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Real Estate Master (Off-Plan Tracker)?

The Real Estate Master skill is a specialized toolkit designed for investors managing complex off-plan property portfolios, particularly within markets like Dubai. It simplifies the management of installments, such as 60/40 or 70/30 plans, while offering robust support for group investment scenarios. By leveraging this tool within the ecosystem of Openclaw Skills, users can accurately calculate proportional ownership between multiple investors based on both initial down payments and ongoing monthly contributions.

At its core, the skill focuses on financial transparency and risk mitigation. It allows administrators to manage a shared cash buffer pool to cover administrative payments and registration fees (like DLD), ensuring that all participants are informed of their equity standing and upcoming financial obligations through precise simulations and data generation.

Real Estate Master (Off-Plan Tracker) Use Cases

  • Tracking property installments and developer payment milestones for off-plan units.
  • Calculating dynamic equity splits for group buy investments involving multiple stakeholders.
  • Simulating ROI and cash flow scenarios to prevent funding gaps in shared investment pools.
  • Managing administrative cash buffers to cover DLD fees and registration costs seamlessly.
  • Generating data for per-investor dashboards and sharing unique progress links.

How Real Estate Master (Off-Plan Tracker) Works

  1. Initialize a new property project by defining the total price, DLD fees, and the specific developer payment plan structure.
  2. Configure the group buy allocation by inputting initial contributions and ongoing monthly commitment amounts for each investor.
  3. Execute the simulation engine to project monthly milestones and identify when the admin cash pool requires refilling to stay above safety thresholds.
  4. Use the generated data outputs to update local records or provide tokens for investor-facing dashboards.

Real Estate Master (Off-Plan Tracker) Setup

To get started with this skill, ensure you have Python 3 installed. Follow these steps to initialize your tracker:

# Navigate to the scripts directory
cd scripts/

# Run the simulation engine with your project configuration
python3 re_sim.py <your_config_file>.json

# Calculate current equity splits for a group buy
python3 equity_calc.py

Real Estate Master (Off-Plan Tracker) Data Schema & Taxonomy

The skill organizes investment data into structured formats to ensure high-fidelity simulations. Key data points include:

Data Object Description
Project Config Contains property price, registration fees, and milestone dates.
Payment Plan A dictionary of installment percentages and trigger events (e.g., 10% on completion).
Investor Ledger Records of initial capital, monthly commitments, and weighted ownership math.
Simulation Forecast A month-by-month breakdown of cash flow, buffer status, and equity shifts.

Real Estate Master (Off-Plan Tracker) Advanced Features

  • Multi-unit simulation engine for managing an entire real estate portfolio in a single workflow.
  • Weighted time-based equity logic that dynamically adjusts ownership as investors make payments over time.
  • Admin cash pool threshold monitoring to automate 'Fair Share' requests to participants.
  • Built-in reference libraries for Dubai-specific escrow basics and tax standards.
  • Token-based data generation for secure investor reporting via the Openclaw Skills architecture.

SKILL.md


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