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.
Normalizes and levels bids received for a defined scope. Performs apples-to-apples
comparison across bidders by adjusting for included/excluded scope, allowances,
alternates, and qualifications.…
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…
Recomputes cost-to-complete from current actuals plus remaining scope plus overlay-derived
escalation and contingency. Compares against prior CTC and the underwriting baseline.
Identifies the driver…
Preconstruction and estimating lead. Produces estimates at conceptual, schematic,
design-development, construction-documents, and GMP stages for ground-up and renovation
scope. Owns the…
Generates a complete, copy-paste-ready Letter of Intent with negotiation strategy memo, three-tier pricing table, ten non-price levers, seller psychology brief, and broker cover email. Triggers on…
Deconstructs an offering memorandum to expose the broker's embedded assumptions, reverse-engineers the purchase price needed to hit target returns, and produces a defensible bid range. Triggers on…