메뉴
Generates the full narrative section of a Comparative Market Analysis from a list of comps + the subject property. Output is a 4-section CMA write-up — comp summary, price-positioning rationale, market context, and recommended list-price range.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Build the cron that runs one content generator and routes the output to three different brand WordPress sites + three Metricool brand IDs — same engine, three distinct voices, brand-aware dedup ledger per router. Same pattern Victoria uses for LIG + Prosperity + Victoria Author. Includes Rank Math meta routing + brand-separation guardrails.
Build your own daily cron that takes your MLS pull + your blog draft and fans it out to Metricool — 4 platforms per brand — without you babysitting the schedule. Same pattern Victoria runs at 6:15 AM. Includes Metricool dedup, twice-daily image-sweeper safety net, day-ahead scheduling. Pairs mls-to-social + canva-real-estate-lifecycle + Metricool MCP.
Connects Claude to BoldTrail (formerly kvCore) so contact data, notes, opt-in status, and nurture state flow between the two systems. The "moat" episode of Season 1 — built after fighting upper management for the integration path.
Build the 11 AM daily cron that runs 14 compliance checks across every AI-generated piece of content BEFORE it reaches a publish API. Criminal-leak blocklist (FHA + MLS data quality), opt-out cross-reference, closed-or-under-contract exclusion, daily-cap throttle, and 9 more. Your TCPA + Fair Housing insurance policy.
The universal orchestration pattern behind every other cron in this season — eve prep drafts overnight (50% cheaper via Gemini Batch API), morning collect at 6:15 AM schedules TOMORROW's content. Plus the every-2-hour supervisor.supervisor that watches every other cron. Family-time-protected 5:45-7:30 AM window locked.
Build the every-5-minute cron that catches fresh BoldTrail/kvCore contacts and lands a welcome touch in 5-15 minutes instead of 23 hours. 391% conversion lift per the most-cited speed-to-lead study. TCPA consent gate baked in — never blasts non-opted-in leads.
| name | cma-narrative |
| description | Generates the full narrative section of a Comparative Market Analysis from a list of comps + the subject property. Output is a 4-section CMA write-up — comp summary, price-positioning rationale, market context, and recommended list-price range. |
| author | Al Pinder, Victoria Pinder |
| version | 1.0.0 |
Writes the WRITE-UP half of a CMA in 60 seconds. Pair with canva/cma-cover for the visual half. Together they replace 60-90 minutes of CMA prep.
You have a listing appointment in 48 hours. You've pulled 3-6 comps. You have the subject property data. You need to convert that into a defensible narrative — not just a comp grid, but the STORY of why this seller should price where you recommend.
This skill writes that story.
I'm a real estate agent. Write the narrative section of a CMA.
SUBJECT PROPERTY:
- Address: [ADDRESS]
- City: [CITY] [STATE]
- Beds/Baths/SqFt: [B] / [B] / [SQFT]
- Lot: [LOT] acres
- Year built: [YEAR]
- Condition: [excellent / good / fair / needs work]
- Standout features: [F1, F2, F3]
- Seller's stated motivation: [downsizing / relocating / financial / no rush]
- Seller's price expectation (if known): $[AMOUNT]
COMPS (provide 3-6):
[For each comp, paste: address, sold price, sold date, beds/baths/sqft,
days on market, condition, distance from subject in miles]
REQUIRED COMPLIANCE (load fair-housing-overlay):
- NO school references in market context
- NO demographic-based positioning
- NO scarcity language ("won't last")
- ALWAYS positive about competing properties + agents
OUTPUT — 4 sections, ~150 words each:
1. COMP SUMMARY — narrative paragraph that walks the reader through the
strongest 3 comps. Frame each by what it shares with subject + how it
differs. No comp-grid table; this is prose.
2. PRICE POSITIONING — where this listing slots vs comps. Use objective
factors: condition, sqft delta, lot size delta, year-built delta. Avoid
subjective ("location is better"). Recommend a position relative to comps
(e.g., "5% below median comp due to deferred maintenance").
3. MARKET CONTEXT — town-level data: median sold last 90 days, days-on-
market trend, active inventory count. Source the data (MLS, Realtors
Property Resource, etc.). Frame neutrally — never "buyer's market" /
"seller's market" judgments.
4. RECOMMENDED LIST-PRICE RANGE — three numbers (low, recommended, high)
with a 2-3 sentence rationale for each. The "recommended" should align
with seller's motivation: more aggressive if motivation is "no rush,"
more conservative if "relocating with a deadline."
Write all four sections.
A defensible narrative the seller can read at the kitchen table and follow without asking questions. Each section flows into the next. The recommended range is grounded in the comps and the seller's situation, not pulled from thin air.
Investor-targeted CMA (rental property):
Add: Replace section 3 (market context) with rental-comp section: monthly rent range for similar properties, current rental yield, 1-year forward projection. Replace section 4 with cap-rate-based price recommendation.
Pre-listing valuation (seller exploring, not committed):
Add: Tone shifts to educational rather than persuasive. Present 3 scenarios (price-aggressive / price-comp / price-conservative) with expected days-on-market for each. Don't push a single recommendation.
Commercial / land:
Different methodology. Use canva/cma-cover for layout but write the narrative manually for these — comp logic differs significantly from residential.
YouTube Episode 6: CMA Narratives in 60 Seconds
Loads fair-housing-overlay. CMA-specific rules:
Al & Victoria Pinder · ICON Agents · eXp Realty · Greenville, NC