effective-rent-analyzer

021 — Claude Cowork for Real Estate (CRE-150)

Plugin repository for the CRE-150 training workshop in the 021 Events series.

CRE-150 covers applied AI workflows for commercial real estate professionals using Claude Cowork. These plugins are the hands-on toolkit for the session — participants install them into their Cowork workspace and run the live extraction exercises against real lease documents and MLS reports.

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Plugins

cre-lease-abstraction — v0.3.0

Abstracts commercial real estate leases using the REIXS-LA-NA-001 extraction standard and a 258-field Domain Data Dictionary across 25 sections.

Trigger: "Abstract this lease" + point to a PDF or DOCX

Default mode — Full Abstraction

Extracts all 25 DDD sections with FACT / INFERENCE / MISSING / CONFLICT status tagging, AutoFail guards, Schedule G override detection, and financial risk analysis. Output: Markdown (30–40 KB) or JSON (50–60 KB), saved to your workspace Reports/ folder.

--criticaldates mode — Critical Dates Calendar

Extracts every date-triggered obligation across 10 categories, assigns P1–P4 priority, and calculates cascading reminders. Optional --ics and --csv output for import into Outlook, Google Calendar, or lease management software.

Abstract this lease /path/to/lease.pdf
Abstract this lease /path/to/lease.pdf --criticaldates --ics --csv
Abstract this lease /path/to/lease.pdf -json

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mls-extractor — v0.5.1

Extracts commercial MLS property listings from PDF reports into professionally formatted Excel spreadsheets.

Trigger: "Extract MLS data from" + point to a PDF

Reads the PDF with LLM vision, extracts a 34-field schema for every listing, verifies the extracted JSON against the source PDF, then produces an Excel file with subject property highlighting and correct column ordering.

Extract MLS data from Mississauga_industrial.pdf
Extract MLS data from report.pdf --subject="2550 Stanfield"

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mcda-sales-comparison — v1.0.0

MCDA ordinal ranking for fee simple sales comparison valuation. Ranks a subject property and comparables on weighted characteristics, maps composite scores to value via interpolation and regression.

Trigger: "Run MCDA sales comparison" + point to a PDF or JSON

Accepts CoStar or broker comparable sale reports, extracts property attributes, calculates a composite MCDA score for each sale, and interpolates a value opinion for the subject property. Supports up to 25 weighted variables with dynamic weight redistribution when data is sparse.

Run MCDA sales comparison /path/to/comparables.pdf
Run MCDA sales comparison /path/to/input.json --stats

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mcda-lease-comparison — v1.0.0

MCDA competitive positioning analysis for commercial real estate leasing. Ranks a subject property against market comparables on up to 25 weighted variables and provides strategic pricing recommendations to achieve Top 3 market positioning.

Trigger: "Relative valuation" / "competitive positioning" / "rank this property" + point to a PDF or JSON

Extracts property data from CoStar or broker market reports, calculates driving distances (optional, requires Distancematrix.ai API key), runs the MCDA ranking engine, and produces a sensitivity analysis showing exactly what it would take to reach the Top 3 competitive tier.

Supports four tenant personas — Default, 3PL/Distribution, Manufacturing, Office/Flex — each with pre-tuned variable weights.

/mcda-lease-comparison /path/to/market_report.pdf
/mcda-lease-comparison /path/to/input.json --persona 3pl --full --stats

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tenant-credit — v1.0.0