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Re Master

Real Estate Master Off Plan Tracker 🏙️

binkl690 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install binkl69/re-master

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Real Estate Master (Off-Plan Tracker) 🏙️

This skill enables precise management and simulation of off-plan property investments, particularly for group buy scenarios with an admin-managed cash pool.

Core Workflows

1. Project Initialization

When a user adds a new unit (e.g., Rotana, Ohana):

  1. Define Price & Fees: Typically 4% DLD + registration.
  2. Define Payment Plan: (e.g., 10% DP + 1% monthly or 10% every 6 months).
  3. Establish Buffer: Define the starting cash pool (e.g., AED 480k).
2. Group Buy Allocation

Calculate equity based on:

  • Initial DP Contribution: Who put in what at the start.
  • Monthly Commitment: Ongoing AED/month contributions.
  • Weighted Time: Ownership adjusts dynamically as payments are made.

Use scripts/equity_calc.py for simple math or scripts/re_sim.py for full multi-month simulations.

3. Buffer & Milestone Simulation

The "Admin Cash Pool" strategy:

  • Use the pool to cover shortfalls or early milestones.
  • Simulate "Fair Share" requests to investors to keep the pool above a safety threshold (e.g., > AED 250k).

Run python3 scripts/re_sim.py <config.json> to generate a full funding forecast.

4. Sharing URLs (Developer Note)

The re-master skill provides data for per-investor views. To generate URLs:

  • Local: Use the dash/<token> routes if using the original Deal Tracker server.
  • Static: Use the simulation output to generate static reports for participants. This skill does not run a web server; it provides the logic to power one.

References

Scripts

  • scripts/re_sim.py: Comprehensive multi-unit simulation engine. Input unit/account config ➔ Output monthly milestone funding breakdown....

Source information

Source
github
Repository
openclaw/skills
Path
skills/binkl69/re-master
Version
—
Commit
520c9b48e5b11af63290127b7efff6b6c2972659
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Real Estate Master (Off-Plan Tracker) 🏙️

This skill enables precise management and simulation of off-plan property investments, particularly for group buy scenarios with an admin-managed cash pool.

## Core Workflows

### 1. Project Initialization
When a user adds a new unit (e.g., Rotana, Ohana):
1.  **Define Price & Fees:** Typically 4% DLD + registration.
2.  **Define Payment Plan:** (e.g., 10% DP + 1% monthly or 10% every 6 months).
3.  **Establish Buffer:** Define the starting cash pool (e.g., AED 480k).

### 2. Group Buy Allocation
Calculate equity based on:
-   **Initial DP Contribution:** Who put in what at the start.
-   **Monthly Commitment:** Ongoing AED/month contributions.
-   **Weighted Time:** Ownership adjusts dynamically as payments are made.

Use `scripts/equity_calc.py` for simple math or `scripts/re_sim.py` for full multi-month simulations.

### 3. Buffer & Milestone Simulation
The "Admin Cash Pool" strategy:
-   Use the pool to cover shortfalls or early milestones.
-   Simulate "Fair Share" requests to investors to keep the pool above a safety threshold (e.g., > AED 250k).

Run `python3 scripts/re_sim.py <config.json>` to generate a full funding forecast.

### 4. Sharing URLs (Developer Note)
The `re-master` skill provides data for per-investor views. To generate URLs:
-   **Local:** Use the `dash/<token>` routes if using the original Deal Tracker server.
-   **Static:** Use the simulation output to generate static reports for participants.
This skill does not run a web server; it provides the logic to power one.

## References

-   **Dubai Norms:** See [references/dubai_standards.md](references/dubai_standards.md) for tax, fee, and escrow basics.
-   **Equity Math:** See [references/equity_formulas.md](references/equity_formulas.md) for the "weighted contribution" logic used in group buys.

## Scripts

-   `scripts/re_sim.py`: Comprehensive multi-unit simulation engine. Input unit/account config ➔ Output monthly milestone funding breakdown....

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