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    deal disposition package pro

    1

    Converts real estate acquisition data into compliance-aware investor memos, teasers, and outreach sequences.

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    deal disposition package pro

    deal disposition package pro

    Example session with this skill installed

    I have a 3/2 single family home in Atlanta. Purchase price $200k, repairs $45k, ARV $310k. I want a 10k assignment fee. Create a teaser and memo for my cash buyer list.

    • Read your context and instructions
    • Compiled the deal disposition package

    I have validated the deal economics for the Atlanta property and prepared the disposition package. The cost stack results in a projected 17.7% ROI for a cash buyer, assuming the stated ARV holds.

    Investor Disposition Package

    Property Teaser (One-Pager)

    Status: Available | Asset Class: SFR Fix & Flip

    • Acquisition Price: $210,000 (Inclusive of Assignment Fee)
    • Estimated Repairs: $45,000
    • Projected ARV: $310,000
    • Total Basis: $255,000
    • Projected Net Margin: $55,000 (Before closing/holding costs)

    Investment Memo: Economic Analysis

    CategoryValueLabel
    Purchase Price$200,000Confirmed (Contract)
    Assignment Fee$10,000Stated
    Repair Budget$45,000Estimated (User Scope)
    ARV$310,000Stated (Comps Required)
    Target Exit$310,000Modeled
    Est. Buying Costs$6,300Estimated (3%)
    Est. Selling Costs$18,600Estimated (6%)
    Projected Net Profit$30,100Modeled

    Risk Disclosures:

    1. ARV Sensitivity: A 10% decrease in market value ($279k) reduces projected net profit to $1,000.
    2. Repair Scope: Budget is based on user-provided estimate; no professional inspection has been performed.
    3. Financing: Projections assume all-cash purchase; financing costs will impact net returns.

    Next steps

    1. Review the Repair Budget against a contractor-verified line-item bid.
    2. Verify the ARV by attaching the top 3 recent sold comparables within a 0.5-mile radius.
    3. Approve the outreach draft to begin distribution to your verified cash buyer list.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Wholesalers and acquisition managers often struggle to produce professional investor packages without falling into the trap of "marketing spin" that risks legal compliance. This skill enforces a rigorous data validation protocol to transform raw property data into buyer-ready investment memos and teasers. It focuses on economic transparency and risk disclosure rather than fabricated hype.

    What it does

    • Data validation ensures all economic inputs like ARV, repair budgets, and assignment fees are present before generating projections.
    • Teaser generation creates facts-only, compliance-safe one-page property summaries for initial buyer interest.
    • Investment memos builds comprehensive economic breakdowns including cost stacks, exit strategies, and return modeling.
    • Outreach sequences drafts permission-gated email and CRM messages for pre-existing buyer lists.
    • Compliance labeling flags every figure as Confirmed, Stated, Modeled, or Estimated to maintain transparency.

    How it works

    1. Input your property identifiers, acquisition terms, repair scope, and target buyer return profiles.
    2. The agent validates the data and requests any missing material figures required for financial modeling.
    3. Review the generated teaser and memo for accuracy against your source documents.
    4. Authorize the outreach drafts and follow the provided distribution compliance checklist for your specific jurisdiction.

    Frameworks & tools

    This skill is framework-agnostic and works via Markdown text generation. It is designed for use within LLM environments like Claude, ChatGPT, or Cursor, and integrates with CRM workflows by generating structured copy ready for manual or automated distribution.

    Why this beats prompting it yourself

    Generic prompts often produce "salesy" language that can violate fair housing or securities advertising standards. This skill enforces a governance layer that explicitly avoids demographic characterizations and ensures every return projection is tied to conditional assumptions rather than guarantees.

    Use cases

    • Generating professional deal flyers for wholesale property assignments.
    • Drafting private placement memos for joint venture capital partners.
    • Creating standardized disposition packages for high-volume fix-and-flip operations.
    • Screening buyers with structured questions to verify closing capability.

    Known limitations

    Does not provide legal advice or securities licensing. Financial projections are models based on user input, not market guarantees. Requires manual review and authorization before any distribution.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Verified clean 6 days ago

    • Passed all security checks, Safe to install

    Listed6 days ago

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