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    market intelligence daily brief

    1

    Generate data-backed real estate market briefs with period-matched metrics and professional talking points.

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    market intelligence daily brief

    market intelligence daily brief

    Example session with this skill installed

    Generate a market brief for residential condos in Downtown Miami for Q3 2023 vs Q3 2024. Use these stats: 2023 Median $650k, 120 sales; 2024 Median $685k, 95 sales. Target: prospective sellers.

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    • Compiled the market intelligence daily

    I have synthesized the residential condo data for Downtown Miami, comparing Q3 2023 against Q3 2024. The analysis highlights a shift toward a low-inventory, higher-price environment. ## Downtown Miami Residential Condo Brief: Q3 2024 | Metric | Q3 2023 | Q3 2024 | Change (%) | | :--- | :--- | :--- | :--- | | Median Sale Price | $650,000 | $685,000 | +5.38% | | Total Sales Volume | 120 units | 95 units | -20.83% | | Market State | Balanced | Seller-Leaning | N/A | ### Market Implications The data indicates a divergence between pricing and activity. While transaction volume has contracted by over 20%, the median sale price continues to appreciate, suggesting that limited inventory is sustaining upward pressure on values despite higher financing costs. For sellers, this means less competition on the market but a narrower pool of active buyers. ### Seller Talking Points - **Price Resilience:** Point out that despite broader economic headlines, the local median price rose 5.4% year-over-year. - **Inventory Scarcity:** Emphasize that the 20% drop in sales volume reflects fewer listings rather than a lack of demand. - **Strategic Timing:** Current conditions favor sellers who can position their property as a premium option in a low-inventory environment. ### Data Notes & Gaps - **Reporting Period:** Data compares July-Sept 2023 vs July-Sept 2024. - **Missing Data:** Days on Market (DOM) and List-to-Sale price ratios were not provided and are excluded from this analysis. - **Verification:** Figures are based on user-supplied statistics; cross-referencing with MLS tax records is recommended before publication. **Next steps** 1. Review the price appreciation figure against local neighborhood pockets for hyper-local accuracy. 2. Verify Days on Market data to determine if the sales slowdown is impacting closing speed. 3. Prepare these talking points for upcoming listing appointments.

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    About this skill

    Real estate professionals often struggle to synthesize fragmented market data into actionable client communications. This skill generates dated market briefs by reconciling local inventory, sales volume, and pricing metrics from your verified sources. It replaces vague market commentary with sourced analysis and period-matched data tables. ## What it does - **Source reconciliation** matches current facts against historical data to ensure period-over-period accuracy. - **Metric calculation** generates comparable changes and ratios based on property segment and market boundaries. - **Client-ready synthesis** translates technical data into specific talking points for buyers and sellers. - **Uncertainty mapping** identifies data gaps and labels unverified information to prevent misleading claims. ## How it works 1. **Define parameters** including market boundary, property segment, report date, and available data sources. 2. **Reconcile data** by separating current facts from stale records and normalizing reporting periods. 3. **Analyze implications** to explain evidence-supported trends without making deterministic forecasts. 4. **Deliver brief** containing a sourced summary, metric table, and professional talking points. ## Frameworks & tools Works with provided property records, CRM exports, market reports, and spreadsheets. It adapts to your specific jurisdiction, currency, units, and business policies. ## Why this beats prompting it yourself Generic prompts often hallucinate statistics or mix up reporting periods. This skill enforces strict source-matching and explicitly labels unknowns, ensuring you never present modeled assumptions as confirmed facts. ## Use cases - **Monthly newsletters** providing localized inventory and price-per-square-foot trends. - **Listing presentations** showing sellers how their segment compares to recent sales volume. - **Buyer briefings** explaining financing context and current market velocity. - **Portfolio reviews** for investors needing period-matched performance data. ## Known limitations Does not provide deterministic price forecasts or professional legal/tax advice. Accuracy depends on the quality and dates of provided data sources.

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    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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