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Origination

Retail Financing Fit

Match a retail asset to the lenders that will quote it, find the controlling test, and name the structure.

★ 105 on GitHub0 downloads on LenderSkills

Free · v1.0.0

Install it in one line — paste a single command into Claude, ChatGPT or Cursor and it writes the skill into your project.

Free, and about thirty seconds: a work email and a six-digit code.

Screened

Downloading shares your name, firm, role, and email with Avi Hacker, J.D.. That introduction is what keeps every skill here free.

What this skill does

Match a retail asset to the lenders that will quote it, find the controlling test, and name the structure.

When to use it

Use this skill when sizing acquisition debt, testing a refinance, planning a bridge or anchor-backfill loan, or reviewing a loan maturity on a grocery-anchored, power, strip / unanchored, lifestyle, mall, mixed-use retail, pad, or single-tenant net lease (STNL) asset. Use it before calling lenders, so the call starts with a lane and a structure rather than a request.

What to have ready

  • Property profile: format, total GLA, year built and renovated, market and trade area, anchor identity, whether the anchor leases or owns its tract, and whether a…
  • Rent roll with GLA, in-place rent, recovery method, expiration, options, and the anchor and top-five tenant share of GLA and of base rent
  • T-12, current-year budget, and the stabilized pro forma, with recoveries, percentage rent, specialty income, and signed-not-open rent broken out separately
  • CAM reconciliation history and the billed-to-recoverable gap, plus reported tenant sales and occupancy cost ratios where lease reporting covenants exist
  • Co-tenancy, go-dark, exclusive, and kick-out provisions from the lease abstracts, with trigger thresholds, cure periods, and remedies
  • Capital plan: TI, LC, anchor demising or box splits, roof, parking lot, and any deferred maintenance from the property condition report
  • …and a few more items the skill will ask for as it goes

How to use it

  1. Download it with the button above. You'll sign in with a work email — that's how the creator knows who is using their skill.
  2. Copy the install prompt from the "Run it in Claude" box, and paste it into Claude along with the file. Claude installs the skill, fills in your firm's details where the file has [BRACKETED] placeholders, and runs a quick test with you.
  3. Then just ask in plain English. Claude picks the skill up on its own when a request matches it. Anything it still needs, it asks you for — it won't invent a number.

"Use the Retail Financing Fit skill — I've got the property profile."

What you get back

A structured report covering sizing noi build, sizing tests, anchor, co-tenancy, and rollover exposure, lender lane fit, required structure, exit / refinance test, and key financing risks. You get it as readable analysis plus the underlying data, so it can feed straight into a memo or another skill.

Good to know

  • Output quality tracks input quality. A missing figure is flagged as missing — it is never estimated to fill a gap.
  • Every draft is a starting point for your own review, not a finished decision.
  • Runs anywhere Claude does: the Claude app, Claude Desktop, or Claude Code.

Legal disclaimer

This skill drafts; it does not decide. Its output is not legal, tax, accounting, appraisal, or investment advice, and using it creates no attorney-client, fiduciary, or advisory relationship. Nothing it produces is a commitment to lend or an offer to sell a security. Verify every number, date, citation, and conclusion against the source documents, and have a qualified professional licensed in the relevant jurisdiction review the work before you rely on it or send it to a borrower, investor, counterparty, or regulator. Laws, rates, and market data change. The final work product is yours.

Inside this skill

The actual file you get. Members can read it in full before saving it.

Skill name
retail-financing-fit
What it does
Maps a U.S. retail asset (grocery-anchored, power, strip, lifestyle, mall, mixed-use, pad, or single-tenant net lease) to the lender lanes that will realistically quote it: builds a lender sizing NOI with percentage rent, specialty income, signed-not-open rent and CAM leakage removed, runs LTV, DSCR and debt yield on in-place, stabilized and anchor-loss downside cases, screens against CREFC watchlist triggers, names the single controlling test, and specifies reserves, cash management, recourse posture and the exit test.
When it runs
Trigger when the user asks to size or place a retail loan, which lenders fit a shopping center, how an anchor or co-tenancy exposure affects proceeds, or what structure a lender will require on a retail deal.
License
Apache-2.0
Metadata
author: "Avi Hacker, J.D." organization: "The AI Consulting Network" homepage: https://www.theaiconsultingnetwork.com source: https://github.com/ahacker-1/cre-agent-skills copyright: "Copyright 2026 Avi Hacker, J.D. / The AI Consulting Network"
Imported to LenderSkills.ai from the open-source cre-agent-skills library.
Author: Avi Hacker, J.D. - https://github.com/ahacker-1/cre-agent-skills
License: Apache-2.0 (see repository LICENSE). Redistributed with attribution; the author's content is unmodified apart from a name and description added to the front matter so Claude can recognize the skill, and a legal disclaimer appended by LenderSkills at the end of the file.
Upstream file: skills/retail/retail-financing-fit.md
Imported: 2026-09-26
The knowledge/, research/ and skills/ files linked below live in the upstream repository.

Retail Financing Fit

Map a U.S. retail asset to the lender lanes that will actually quote it, find the test that controls proceeds, and specify the structure a lender will require before it closes.


When to Use This Skill

Use this skill when sizing acquisition debt, testing a refinance, planning a bridge or anchor-backfill loan, or reviewing a loan maturity on a grocery-anchored, power, strip / unanchored, lifestyle, mall, mixed-use retail, pad, or single-tenant net lease (STNL) asset. Use it before calling lenders, so the call starts with a lane and a structure rather than a request.

Retail proceeds are set by lease documents and tenant sales, not by leverage appetite. Anchor term, co-tenancy triggers, go-dark rights, exclusives, percentage rent, and CAM recovery leakage move the loan more than the LTV conversation does.

This skill stops at lane fit and required structure. Building the lender call list is Lender Outreach, comparing quotes once they arrive is Quote Comparator, and formalizing the selected quote is Term Sheet Builder.

This is educational decision support, not legal, tax, investment, accounting, or financing advice. Loan documents, carve-out guaranties, cash management agreements, and REA / co-tenancy interpretation are state-law and deal specific and require counsel and a real lender quote.


What You'll Need to Provide

  • Property profile: format, total GLA, year built and renovated, market and trade area, anchor identity, whether the anchor leases or owns its tract, and whether a recorded REA / OEA governs the site

Reading the full skill counts as a download. The contributor receives your name, company, and email.

Ratings & reviews

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No written reviews yet. If you run this on a live file, say how it went. The next lender reading this page is deciding whether to trust it.

Examination record

Archive inspectionPackage unpacked in isolation; contents and paths verified
Executable & binary blockExecutables, binaries, and scripts rejected automatically
Static analysisScanned for exfiltration, credential access, obfuscation, prompt injection
Human reviewA moderator read the skill end to end. Retired on 14 September 2026 — screening decides now.
What each gate checks

Run it in Claude

  1. Copy the install command above
  2. Paste it into Claude, ChatGPT or Cursor
  3. It writes the skill in, fills in your firm’s details, and test-runs it with you

Prefer the file? The prompt above is for a package you already downloaded.

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Details

Version1.0.0
AddedSep 27, 2026
UpdatedSep 27, 2026
CategoryOrigination
Downloads0
On GitHub★ 105
Tagsretail, loan sizing, lender lanes, anchor risk, reserves

More from Avi Hacker, J.D.

Imported from their public repository with attribution. Their other skills, and where to find the original, are on their contributor page.