Extract lease comps from CoStar exports, OM sections, and broker grids.
npx skills add https://github.com/RA01279/ridge-intel --skill lease-comp-map
Please help me install this Agent Skill. Skill: lease-comp-map Source: https://github.com/RA01279/ridge-intel/tree/main/lease-comp-map Command: npx skills add https://github.com/RA01279/ridge-intel --skill lease-comp-map
LEASE COMP MAP automates the extraction and benchmarking of lease comparables to accelerate underwriting and market analysis. It consolidates comps from uploaded data sources and benchmarks them against the subject property's in-place rents, identifying roll risk and mark-to-market opportunities.
Upload subject property details and comp data, then run the lease-comp-map skill to generate the comp summary and market benchmarks.
High-intent search queries and answers about installing and using this skill.
Lease comps are extracted from CoStar exports and broker grids by scanning every section of every source to build a comprehensive comp set for underwriting. The process benchmarks comparables against your subject property's in-place rent.
Lease comp benchmarking compares extracted comparables against the subject property's in-place rent to identify roll risk. It generates a Market Rent Benchmark by size tier to highlight mark-to-market opportunities and potential income exposure.
Yes, industrial and flex property lease comps can be benchmarked using OM market sections alongside CoStar exports and broker grids. The process explicitly labels each source to ensure a comprehensive market benchmark by suite size.
Generate a comp summary table and underwriting recommendations by uploading subject property details and comp data to run the analysis. Outputs include a Roll Risk Analysis and Market Rent Benchmark formatted for use in RIDGE models.
Yes, lease comp mapping supports market rent analysis by suite size for internal IC analyses. It outputs a Market Rent Benchmark by size tier and Roll Risk Analysis to build a robust comp set for investment committee reviews.
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