comparable-sales-adjustment-methodology
Expert in technical adjustment grid construction for comparable sales analysis including adjustment hierarchy, quantification methods (paired sales, regression, cost, income), and validation techniques. Use when constructing detailed comparable sales grids, quantifying specific adjustments, applying statistical validation, or reconciling adjusted sale prices. Key terms include adjustment grid, paired sales analysis, hedonic regression, gross adjustment limits, net adjustment, sensitivity analysis
npx skills add majiayu000/claude-skill-registry --skill comparable-sales-adjustment-methodology-reggiechan74-vp-real-est-reggiechan74-vp-real-estate --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
Provides technical rigor in comparable sales adjustments, outlining a 6-stage adjustment hierarchy (property rights through physical characteristics), multiple quantification methods (paired sales isolation, statistical regression, cost/income approaches), validation testing (gross/net limits, R-squared, coefficient significance), and sensitivity analysis. Targets constructing detailed adjustment grids, quantifying specific adjustments, applying statistical validation, and reconciling adjusted sale prices for market-based valuation. Emphasizes property-type specific logic (industrial vs office vs retail) and USPAP 2024 / CUSPAP 2024 compliance, delivering a comprehensive JSON output with adjustment details.
How it works
- When users need to perform comparable sales calculations, use the Python calculator in the Comparable_Sales_Analysis directory.
- Main tools include:
comparable_sales_calculator.pyfor the main adjustment grid constructionpaired_sales_analyzer.pyfor paired sales analysisvalidate_comparables.pyfor input validationadjustments/for modular adjustment calculations by category
- Supports a 6-stage adjustment hierarchy: 1) Property Rights, 2) Financing Terms, 3) Conditions of Sale, 4) Market Conditions/Time, 5) Location, 6) Physical Characteristics.
- Input is JSON with subject_property, comparable_sales, and market_parameters, then runs through data gathering, running the calculator, and producing a comprehensive JSON output.
- Outputs include:
comparable_resultswith sequential adjustment stages and 49 adjustments,validationflags,weighting,final_reconciliation, andcomplianceindicators. - Uses property-type specific logic and offers regression, paired sales, or cost/income methods to derive adjustments; results include a reconciliation and an explicit net adjustment calculation path.
Input and usage specifics
- Example input structure guides how to set subject_property, comparable_sales, and market_parameters, including itemized fields like property_rights, lot_size_acres, building_sf, and various adjustments per category.
- Command-line usage shows how to run the calculator from
/workspaces/lease-abstract/Comparable_Sales_Analysis/with a JSON input file and produce a results.json output.
When to use it
Use when performing detailed comparable sales grids, quantifying specific adjustments, applying statistical validation, or reconciling adjusted sale prices across industrial, office, and retail properties, ensuring compliance and robust documentation.
What it can touch
- Tools and files include:
comparable_sales_calculator.py,paired_sales_analyzer.py,validate_comparables.py, andadjustments/submodules, all located in/workspaces/lease-abstract/Comparable_Sales_Analysis/. - Generates a comprehensive JSON output with
adjustment_stages,all_adjustments(49 corrections),adjustments_by_category,validation,weighting,final_reconciliation, andcomplianceflags.
Caveats
- Compliance flags (USPAP/CUSPAP/IVS) are reported; the skill emphasizes proper sequence of adjustments and defensible methods but relies on provided input quality and data availability. No guidance beyond what's implemented in the provided modules and input formats is stated here.
You are an expert in technical adjustment grid construction for comparable sales analysis, providing detailed methodology for appraisers and property professionals performing market-based valuation. ## Implementation **When users need to perform comparable sales calculations, use the Python calculator in the Comparable_Sales_Analysis directory.** ### Calculator Tool **Location**: `/workspaces/lease-abstract/Comparable_Sales_Analysis/` **Main Files**: - `comparable_sales_calculator.py` - Main calculator with adjustment grid construction - `paired_sales_analyzer.py` - Paired sales analysis tool - `validate_comparables.py` - Input validation utility - `adjustments/` - Modular adjustment calculations by category **Capabilities**: - Complete 6-stage adjustment hierarchy (property rights through physical characteristics) - 49 physical characteristic adjustments across 7 categories - Property-type specific logic (industrial vs office vs retail) - Statistical validation (gross/net adjustment limits, weighting) - USPAP 2024 and CUSPAP 2024 compliant - Comprehensive JSON output with adjustment details ### Input Format **JSON structure** (see `sample_inputs/sample_industrial_comps.json` or `s
- Implementation
- Calculator Tool
- Input Format
- Usage
- Output Format
- Sample Files
- Validated Coverage
- Granular Focus
- Adjustment Hierarchy and Sequence
- Proper Adjustment Sequence
- Quantifying Adjustments
- Paired Sales Analysis (Isolation Method)
- Statistical Regression (Hedonic Price Modeling)
- Cost Approach (Depreciated Replacement Cost)
cd /workspaces/lease-abstract/Comparable_Sales_Analysis/ python comparable_sales_calculator.py sample_inputs/sample_industrial_comps.json --output results.json --verbose
What does the comparable-sales-adjustment-methodology skill do?
Expert in technical adjustment grid construction for comparable sales analysis including adjustment hierarchy, quantification methods (paired sales, regression, cost, income), and validation techniques. Use when constructing detailed comparable sales grids, quantifying specific adjustments, applying statistical validation, or reconciling adjusted sale prices. Key terms include adjustment grid, paired sales analysis, hedonic regression, gross adjustment limits, net adjustment, sensitivity analysis
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill comparable-sales-adjustment-methodology-reggiechan74-vp-real-est-reggiechan74-vp-real-estate --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.