This is the Hub's skills library, part of how AI.Edge and the A.CRE Accelerator teach the practical application of AI in commercial real estate. Browse them to see how a skill changes your AI's behavior, then try them in Claude, ChatGPT, or Gemini.
A.CRE
Built by A.CRE
Our in-house skills. Financial-model skills that operate official A.CRE Excel models for Accelerator members, plus capability skills that help AI.Edge members master what their AI can do.
Third-Party
Open-source, third-party
Publicly available CRE skills published under open licenses like MIT and Apache-2.0. We include them so you can see first-hand how a skill changes your AI's behavior. They aren't authored or endorsed by A.CRE, and the original author is credited on every page.
Produces institutional-quality annual operating budgets with IREM/BOMA benchmarking, component-specific escalators, NOI sensitivity grids, budget-to-value linkage, reserve adequacy testing, and IC…
Top-level workspace for ongoing asset management and property operations. Routes through budgeting, performance monitoring, capex, NOI optimization, compliance, maintenance, and vendor management.…
Builds the annual operating budget from property-level bottoms-up plus portfolio-level
assumptions. Revenue build from rent roll + market reference + renewal policy; expense
build from assumption…
Produces line-item capex estimates for a defined scope using the capex library, labor
rates, material costs, and overlay contingency and escalation. Output is a structured
estimate suitable for bid…
Evaluates competing capital expenditure projects using IRR/NPV, interaction effects, residual value at disposition, covenant impact, replacement cost benchmarking, and 'do nothing' deferral cost…
Ownership-side monthly review. Synthesizes property-level operating output into asset
plan reality check: variance to budget and reforecast, covenant view with cushion and
breach risk, watchlist…
Produces monthly or quarterly property performance reports with T-12 trend analysis, budget variance escalation triggers, tenant health indicators, delinquency aging, same-store NOI tracking, and a…
Produces a reforecast that inherits actuals through the as-of month, preserves or revises
forward-looking assumptions with citation, and surfaces the delta vs. budget and vs.
prior forecast.…
Generates ownership-ready variance narratives from budget-vs-actual reports. Screens for materiality, classifies variances as timing/permanent/one-time/trend, projects full-year NOI impact, and…