Rank tenant prospects for industrial and flex space using CANVAS scores.
npx skills add https://github.com/RA01279/ridge-intel --skill canvas-panel
Please help me install this Agent Skill. Skill: canvas-panel Source: https://github.com/RA01279/ridge-intel/tree/main/.claude/worktrees/agent-a77b1b52/canvas-panel Command: npx skills add https://github.com/RA01279/ridge-intel --skill canvas-panel
CANVAS PANEL merges CANVAS analysis into RIDGE Deal Tools to streamline tenant sourcing and demand analysis for industrial and flex spaces.
Run CANVAS with a target address to generate a ranked tenant prospect list for that property.
High-intent search queries and answers about installing and using this skill.
To identify tenant prospects for industrial real estate, input a target property address and available square footage to generate a ranked list of tenants with CANVAS scores. This supports building-specific sourcing by matching demand to your available space.
Submarket analysis for flex space demand signaling identifies market-wide tenant interest rather than building-specific matches. It uses the HUNT mode to process market inputs and surface broad demand trends, helping feed early deal sourcing pipelines.
You can find tenants for a specific building by running FILL mode with the property address and SF availability. It outputs a ranked prospect list using CANVAS scores, allowing you to prioritize outreach for your vacant industrial or flex space.
Yes, CANVAS integrates directly with RIDGE Deal Tools as an app panel. This integration allows you to run tenant sourcing analysis inside your deal workflow and seamlessly export ranked prospects to your pipeline.
Required inputs for tenant sourcing include a property address, available square footage, and submarket data. For market-wide demand signaling, broader market inputs are processed to generate ranked tenant prospects and demand signals.
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