IDX CMA Report

---

name: idx-cma-report description: Generate comparative market analysis (CMA) and home valuation reports from IDX listing data and selected comparable properties. Use when a user wants to pick comps, estimate a market value range, produce seller-facing home evaluation reports, or publish an interactive CMA experience via Google Gemini Canvas or Google AI Studio.

---

IDX CMA Report

Use this skill to turn subject-property data and IDX comparables into a defensible CMA package with:

Structured valuation calculations

A written report for agent/client review

An interactive handoff prompt for Google Gemini Canvas / Google AI Studio

Workflow

1. Gather Data Through IDX MCP/CLI

Use the IDX MCP/CLI skill already available in the environment to pull:

Subject property details

Candidate comparable listings (closed/pending/active based on user preference)

Ask the user which comps to include when the choice is ambiguous. Keep 3 to 8 comps unless the user requests otherwise.

Normalize data to JSON using the schema in references/cma-input-schema.md.

2. Build CMA Outputs

Run:

python3 scripts/build_cma.py \
  --subject subject.json \
  --comps comps.json \
  --output-dir cma-output

The script produces:

cma-output/cma_report.md (summary report)

cma-output/cma_data.json (calculation payload)

cma-output/interactive_local.html (local interactive view)

cma-output/gemini_canvas_prompt.md (prompt for Google tools)

3. Review and Explain Adjustments

Before final delivery:

Show the comp set used

Show estimated range and central estimate

Explain assumptions and major adjustments in plain language

Flag missing/low-quality fields that weaken confidence

Use references/valuation-guidelines.md for adjustment defaults and confidence guidance.

4. Publish Interactive Version in Gemini

Use cma-output/gemini_canvas_prompt.md as the base prompt. Then:

1. Open Google AI Studio or Gemini Canvas. 2. Paste the generated prompt and provide cma_data.json. 3. Ask for an interactive CMA web app with: - Comp table with sorting/filtering - Map-ready data fields (if lat/lng present) - Value-range visualization - Notes panel explaining adjustments 4. Request hosted/shareable output if available in the chosen Google tool.

See references/gemini-canvas-publish.md for a copy-ready checklist.

Safety Rules

Treat outputs as broker/agent CMA support, not a licensed appraisal.

Surface data gaps, outliers, or stale comps before presenting a valuation.

Never invent listing attributes; mark missing values as unknown.

Keep a clear boundary between factual listing data and model assumptions.

References

references/cma-input-schema.md

references/valuation-guidelines.md

references/gemini-canvas-publish.md