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.
Generates and tracks comprehensive closing checklists for CRE transactions (acquisitions, dispositions, refinancings). Backward-schedules deadlines from closing date, assigns responsibilities,…
Evaluates whether a cost segregation study is worth pursuing for a CRE property by estimating reclassifiable components, quantifying PV of accelerated depreciation, modeling recapture at…
Produces a complete disposition preparation package: T-12 normalization, rent roll scrub, data room index, buyer Q&A, retrade defense, broker selection, marketing timeline, value story, and buyer…
Produces a comprehensive sell/hold/refinance analysis with market cycle positioning, tax impact quantification, marginal return on equity, buyer universe assessment, and 15 selectable disposition…
Structures and models Section 704(b) tax allocation provisions for real estate partnerships. Covers capital account maintenance, operating income/loss allocation, depreciation allocation, minimum…
Portfolio- and fund-level leader. Aggregates asset_manager outputs into portfolio performance
and strategy. Owns portfolio concentration, same-store growth, debt-ladder posture, and
investor-facing…