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market report generator pro
Professional engine for converting raw real estate data into compliant, source-cited market reports and newsletters.
$19.99
market report generator pro
Example session with this skill installed
Generate a Q3 2026 report for Austin, TX (78704) based on: Median Price $850k (+5% YoY), Inventory 3.2 months (+20% YoY), Days on Market 45. Audience: Sellers. Channel: Email and LinkedIn.
- Read your context and instructions
- Compiled the market report generator
I have processed the Q3 2026 data for the 78704 zip code. The analysis focuses on the shift toward a balanced market and the implications for listing strategy.
Market Intelligence Report: Austin (78704) - Q3 2026
| Metric | Q3 2026 Value | Year-over-Year Change |
|---|---|---|
| Median Sales Price | $850,000 | +5% |
| Months of Inventory | 3.2 Months | +20% |
| Average Days on Market | 45 Days | +12% |
Trend Interpretation
The data indicates a stabilizing market. While median prices have seen a modest 5% increase, the 20% surge in inventory suggests that buyers have more options than they did this time last year. For sellers, this means that while equity is holding, the pace of the market has moderated, requiring more precise pricing and presentation.
Key Takeaways
Pricing is Critical: With inventory rising, properties priced at the top of the range are seeing longer hold times.
Buyer Leverage: The increase to 3.2 months of supply moves the market closer to a neutral state, reducing the frequency of multiple-offer scenarios.
Stable Appreciation: The 5% YoY price growth suggests a return to historical norms rather than the volatility of previous cycles.
Client Narrative (Email Newsletter)
Subject: 78704 Market Update: What Q3 Trends Mean for Your Property Value
The third quarter of 2026 has brought a notable shift to the Austin 78704 real estate landscape. We are currently seeing a median sales price of $850,000, representing a steady 5% increase over last year. However, the most significant change is in the volume of available homes. Inventory has grown by 20%, giving buyers more breathing room and extending the average time on market to 45 days. If you are considering selling, these figures highlight the importance of a strategic marketing plan that differentiates your home in a more crowded field.
LinkedIn Variant
Market transparency is key in a shifting economy. In Austin's 78704 zip code, Q3 2026 data shows a 20% increase in housing inventory. While prices remain resilient with a 5% YoY increase, the window for "bidding wars" is narrowing as supply catches up to demand. Sellers should focus on data-driven pricing to capture serious interest in the current 45-day cycle. #AustinRealEstate #78704 #MarketTrends
Compliance Checklist
- All statistics cited with date (Q3 2026) and source (User-provided data).
- No forward-looking price predictions included.
- No neighborhood demographic characterizations used.
- Terminology adjusted for Texas jurisdiction (e.g., "Days on Market").
Next steps
- Review the data table against your local MLS export for accuracy.
- Insert your brokerage-specific fair housing disclosure at the footer of the email draft.
- Export the LinkedIn variant to your social media scheduler with a local market photo.
Connects securely to your tools. The creator never sees your data.
About this skill
Raw market data is often too dry for clients and too risky for agents to interpret without professional guardrails. This skill converts MLS exports, association reports, and assessor data into structured, source-cited intelligence briefs. It bridges the gap between raw statistics and client-ready narratives while maintaining strict compliance with real estate advertising standards.
What it does
- Data synthesis organizes raw MLS or local association stats into period-over-period comparison tables.
- Trend interpretation explains what the numbers mean for buyers, sellers, and investors in plain language.
- Narrative generation produces newsletter-ready copy tailored to specific audiences and distribution channels.
- Social adaptation creates platform-appropriate caption variants based on the report data.
- Compliance verification applies a checklist to ensure reports avoid prohibited forecasting and demographic characterizations.
How it works
- Data Intake allows you to provide market stats, reporting periods, and specific geographic targets.
- Analysis Phase processes the delta between periods to identify shifts in inventory, pricing, and days on market.
- Drafting Phase generates the full report including tables, takeaways, and channel-specific copy.
- Compliance Review runs the final text against fair housing and advertising disclosure requirements.
Frameworks & tools
This skill is framework-agnostic and works with any LLM capable of processing structured data (CSV/JSON) or text-based MLS exports. It is designed for use within agent workflows, investor newsletters, and brokerage intelligence systems.
Why this beats prompting it yourself
Generic prompts often lead to "hallucinated" price predictions or illegal demographic descriptions that create liability. This skill enforces a strict protocol that separates data-driven facts from forward-looking forecasts, ensuring every claim is sourced and dated.
Use cases
- Generate monthly neighborhood newsletters for a local real estate farm.
- Produce quarterly investor briefings for multi-family property owners.
- Create social media market update graphics and captions from MLS data.
- Build internal brokerage reports to brief agents on current inventory trends.
Known limitations
Does not perform live API calls to MLS databases; requires user-provided data exports. Cannot provide legal advice or guarantee local regulatory compliance.
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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