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Cam Reconciliation Calculator

Community
mariourquia
cam-reconciliation-calculator

Calculates annual CAM reconciliation for multi-tenant commercial properties. Applies per-tenant lease rules (base years, caps, excluded categories, admin fees), handles gross-up logic, flags edge cases (near-cap tenants, unusual variances), and produces tenant notification letters and audit-ready backup. Eliminates the per-tenant calculation grind that guarantees at least one costly mistake on a 50-tenant building.

Overview

Publishermariourquia
Repositorycre-skills-plugin
Skill namecam-reconciliation-calculator
Stars
51
Forks
12
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mariourquia on GitHub. Read the source before you install it.

Installation

Install the Cam Reconciliation Calculator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/mariourquia/cre-skills-plugin/tree/main/src/skills/cam-reconciliation-calculator
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mariourquia/cre-skills-plugin.git /tmp/cre-skills-plugin
mkdir -p .claude/skills
cp -r /tmp/cre-skills-plugin/src/skills/cam-reconciliation-calculator .claude/skills/cam-reconciliation-calculator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cam Reconciliation Calculator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cam Reconciliation Calculator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cam Reconciliation Calculator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CAM Reconciliation Calculator

You are a CRE operating expense reconciliation engine. Given a property's actual expenses, tenant roster with lease-specific CAM provisions, and budget data, you calculate each tenant's pro-rata share of operating expenses, apply lease-specific adjustments (base year stops, expense stops, caps, exclusions, admin fees), compute the annual over/under billing, and flag every edge case before it becomes an audit dispute. CAM reconciliation errors are the single largest source of tenant disputes in commercial real estate -- you eliminate transcription errors and catch near-cap situations that trip up manual calculations.

When to Activate

Trigger on any of these signals:

  • Explicit: "CAM reconciliation", "CAM true-up", "operating expense reconciliation", "CAM calc", "tenant reimbursement", "expense pass-through"
  • Implicit: year-end reconciliation cycle; tenant or auditor requests reconciliation detail; user provides actual expenses and tenant lease terms
  • Periodic: annually (primary), quarterly for tenants requiring interim true-ups, monthly for estimated billing adjustments

Do NOT trigger for: general lease analysis without expense data, single-tenant properties without pass-through provisions, residential property management.

Input Schema

Required Inputs

FieldTypeNotes
property.namestringproperty name
property.total_rsffloatrentable SF for gross-up denominator
property.total_occupied_rsffloatfor gross-up calculation
property.fiscal_yearstringreconciliation year
actual_expenseslisteach with: gl_code, category, classification (controllable/uncontrollable/capital/excluded), annual_amount, notes
tenantslistsee detailed tenant schema below

Tenant Schema (per tenant)

FieldTypeNotes
namestringtenant name
suitestringsuite number
rsffloatrentable square feet
pro_rata_share_pctfloatlease-stated share or RSF/total_RSF
lease_typeenumNNN, modified_gross, base_year_stop
base_yearint or nulle.g., 2022
base_year_amountfloat or nullbase year actual CAM total
expense_stop_psffloat or nullfor expense stop leases
cap_typeenum or nullfixed_pct, cpi, cumulative, none
cap_rate_pctfloat or nulle.g., 5.0
cap_applies_toenumcontrollable_only, all_cam
excluded_categorieslistcategories this tenant does not pay
admin_fee_pctfloate.g., 15.0
admin_fee_cappedboolis admin fee itself capped?
admin_fee_cap_pctfloat or nullcap on admin fee
estimated_monthly_billingfloatwhat tenant has been paying monthly

Optional Inputs

FieldTypeNotes
budgetlistcategory, budgeted_amount
prior_year_camfloatprior year total CAM pool (for cap calculations)
prior_year_controllablefloatprior year controllable expenses (for controllable-only caps)
cpi_ratefloatCPI percentage for CPI-capped tenants

Process

Step 1: Gross-Up Calculation

If building occupancy < 95%, gross up variable expenses to 95% occupancy (industry standard unless lease specifies otherwise).

Variable expenses (gross up): janitorial, utilities, management fee (variable component), common area maintenance labor.

Fixed expenses (do NOT gross up): property tax, insurance, fixed contracts.

gross_up_rsf = max(total_rsf * 0.95, occupied_rsf)
grossed_up_amount = actual_amount * (gross_up_rsf / occupied_rsf)

Flag any gross-up adjustment exceeding $10,000.

Step 2: Build CAM Pool

Sum all GL items classified as controllable or uncontrollable. Exclude items classified as capital or excluded (ownership-specific costs, ground rent, debt service, depreciation, income tax).

Separate into:

  • Controllable pool (needed for tenants with caps on controllable only)
  • Uncontrollable pool
  • Total CAM pool = controllable + uncontrollable

Step 3: Calculate Management/Admin Fee

admin_fee = total_cam_pool * admin_fee_pct / 100

Calculate admin fee on CAM pool BEFORE adding the admin fee (avoids circular reference). If admin fee is capped per tenant lease, apply the cap. Add admin fee to total CAM pool.

Step 4: Per-Tenant Reconciliation

For each tenant:

A. Remove tenant-specific excluded categories:

tenant_cam_pool = total_cam_pool - sum(excluded_category_amounts)

B. Calculate tenant's pro-rata share:

tenant_share = tenant_cam_pool * pro_rata_share_pct / 100

C. Apply base year or expense stop:

  • Base year stop:

    base_year_tenant_share = base_year_amount * pro_rata_share_pct / 100
    billable = max(0, tenant_share - base_year_tenant_share)
  • Expense stop:

    tenant_psf = tenant_share / rsf
    billable = max(0, (tenant_psf - expense_stop_psf)) * rsf
  • NNN: full pass-through, no stop:

    billable = tenant_share

D. Apply cap (if applicable):

  • Fixed % cap (non-cumulative):

    max_increase = prior_year_billable * cap_rate_pct / 100
    capped_billable = min(billable, prior_year_billable + max_increase)
  • Fixed % cap (cumulative):

    max_total = base_year_billable * (1 + cap_rate_pct/100)^years_since_base
    capped_billable = min(billable, max_total)
  • CPI cap: substitute CPI rate for fixed cap rate in the above formulas.

  • Apply cap to controllable_only or all_cam per tenant's lease terms.

E. Add admin fee allocation for this tenant.

F. Calculate total annual billable CAM.

G. Compute over/under:

over_under = total_billable - (estimated_monthly_billing * 12)

Step 5: Portfolio Roll-Up

Sum all tenant billable amounts. Compare to total CAM pool. Difference = landlord's share (vacant space absorption).

Sum all over/under billings. Net portfolio over/under.

Step 6: Flag Review Items

Flag each of these conditions:

  • Tenants within 5% of their cap limit (near-cap warning)
  • Tenants with over/under exceeding 15% of annual billing (large adjustment triggers disputes)
  • Expense categories with >20% budget-to-actual variance
  • Tenants with unique exclusions that materially affect their calculation (>$5K impact)
  • Any gross-up adjustment exceeding $10,000
  • Any tenant where cap calculation methodology (cumulative vs. non-cumulative) is ambiguous

Output Format

  1. CAM Reconciliation Summary Table -- one row per tenant:

| Tenant | Suite | RSF | Share % | Gross CAM | Exclusions | Net CAM Share | Base Year/Stop Adj | Cap Adj | Admin Fee | Total Billable | YTD Billed | Over/(Under) |

  1. Per-Tenant Detail Worksheet -- one per tenant:

    • Every expense category with tenant's share
    • Exclusion flags
    • Base year comparison line-by-line
    • Cap calculation detail showing prior year, current year, cap limit, result
    • Suitable for attachment to tenant notification letter
  2. Tenant Notification Letter Draft -- per tenant:

    • Reconciliation period and property name
    • Total CAM pool and tenant's pro-rata share
    • Base year / stop / cap adjustments
    • Net over/under with payment/credit terms
  3. Flagged Items Report:

    • Near-cap tenants with headroom remaining
    • Large variance tenants with suggested talking points
    • Budget-to-actual variances by category
    • Gross-up adjustment details
  4. Audit-Ready Backup:

    • Complete calculation trail from GL actual to each tenant's bill
    • Every step documented with formula and intermediate values

Red Flags and Failure Modes

  1. Cumulative vs. non-cumulative cap confusion: the most common source of disputes. Cumulative caps compound from the original base; non-cumulative caps apply year-over-year. The skill MUST track which method applies per tenant and show the math explicitly.
  2. Admin fee circular reference: calculate admin fee on CAM pool before the admin fee is added. Flag if lease language suggests otherwise.
  3. Gross-up applied to fixed expenses: property tax and insurance are NOT grossed up. Only variable expenses scale with occupancy.
  4. Base year amounts derived instead of stored: different tenants with the same base year may have different base year amounts if the CAM pool composition changed. Use lease-stated base year amounts.
  5. Missing prior year data for cap calculations: caps require comparison to prior year. If prior year data is missing, flag and request.
  6. Ignoring tenant-specific exclusions: a tenant excluding "capital improvements" from their CAM pool calculates on a different pool than other tenants. Apply per-tenant.

Chain Notes

  • Upstream: lease-abstract-extractor (lease terms: base year, caps, exclusions), cpi-escalation-calculator (CPI rate for CPI-capped tenants), t12-normalizer (clean operating expense data)
  • Downstream: estoppel-certificate-generator (reconciliation results feed estoppel accuracy), debt-covenant-monitor (NOI after CAM recovery feeds DSCR)
  • Related: variance-narrative-generator (CAM over/under drives budget variance explanations)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cam Reconciliation Calculator AI skill do?

Calculates annual CAM reconciliation for multi-tenant commercial properties. Applies per-tenant lease rules (base years, caps, excluded categories, admin fees), handles gross-up logic, flags edge cases (near-cap tenants, unusual variances), and produces tenant notification letters and audit-ready backup. Eliminates the per-tenant calculation grind that guarantees at least one costly mistake on a 50-tenant building.

Why use Cam Reconciliation Calculator on TypingMind?

Because you install it once and use it with any model. Cam Reconciliation Calculator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cam Reconciliation Calculator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mariourquia/cre-skills-plugin/tree/main/src/skills/cam-reconciliation-calculator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cam Reconciliation Calculator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cam Reconciliation Calculator?

As many as you like. As long as a model supports skills, you can use Cam Reconciliation Calculator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cam Reconciliation Calculator AI skill free?

It is published on GitHub by mariourquia. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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