IDX CMA Report

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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.

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# IDX CMA Report

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

Workflow

1. Gather Data Through IDX MCP/CLI

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

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:

3. Review and Explain Adjustments

Before final delivery:

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](https://aistudio.google.com/) 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

References