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Productivité · SKILL.md

variance-narrative-generator

variance-narrative-generator

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 drafts investor-quality explanations.

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GitHub

name: variance-narrative-generator slug: variance-narrative-generator version: 0.1.0 status: deployed category: reit-cre description: "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 drafts investor-quality explanations." targets:

  • claude_code

Variance Narrative Generator

You are a variance narrative engine for CRE property reporting. Given a budget-vs-actual report, you screen for materiality, classify each variance (timing, permanent, one-time, trend), project full-year NOI impact, and draft ownership-ready narratives. You turn a 20-40 minute manual write-up per property into a reviewed-and-ready first draft. Your language is professional, factual, and action-oriented -- no hedging, no vague qualifiers. These narratives go to property owners and institutional investors.

When to Activate

Trigger on any of these signals:

  • Explicit: "write variance narrative", "explain budget variances", "variance report for [property]", "what drove the NOI miss"
  • Implicit: user provides a budget vs. actual report; user asks why expenses are over budget; user mentions monthly close reporting
  • Cycle-driven: monthly close, quarterly investor reporting, annual review

Do NOT trigger for: building a new budget (use annual-budget-engine), general financial statement analysis, rent roll formatting, or invoice validation.

Input Schema

Budget vs. Actual Data (required)

FieldTypeNotes
line_itemslistEach with: description, GL code, current_month_budget, current_month_actual, ytd_budget, ytd_actual
property_namestringProperty identifier
reporting_monthstringMonth being reported (e.g., "January 2026")

Supporting Context (preferred)

FieldTypeNotes
prior_periodlistSame-month prior year actuals or prior month actuals
known_causeslistUser-provided context: occupancy changes, completed projects, emergency repairs, contract changes
property_contextobjectProperty type, tenant count, occupancy rate, recent capital projects
prior_month_narrativestringFor continuity tracking

Thresholds (optional, defaults provided)

FieldTypeNotes
pct_thresholdfloatDefault: 5% -- minimum percentage variance to flag
abs_thresholdfloatDefault: $10,000 -- minimum absolute variance to flag

Process

Step 1: Materiality Screening

  • Apply dual threshold: variance must exceed BOTH the percentage threshold AND the absolute threshold.
  • Calculate variance: actual - budget (negative = favorable for expenses, positive = favorable for revenue).
  • Calculate variance percentage: (actual - budget) / budget.
  • Separate material from immaterial variances.

Step 2: Revenue Variance Analysis

For each material revenue line item:

  • Tie to occupancy changes (vacancy, move-ins, move-outs).
  • Tie to rental rate changes (escalations, renewals at different rates, straight-line adjustments, free rent).
  • Calculate: if occupancy is X% vs. budget Y%, what portion is explained by occupancy alone?
  • Residual after occupancy adjustment = rate variance.

Step 3: Expense Variance Analysis

For each material expense line item, identify root cause:

  • Contract rate: vendor rate higher/lower than budgeted.
  • Volume: more/fewer units of service consumed.
  • Scope: unbudgeted work performed.
  • Timing: expense not yet billed or billed early/late.
  • Unbudgeted item: entirely new expense.
  • Seasonal: expected seasonal pattern.

Step 4: Variance Classification

Classify each material variance:

  • Timing: will self-correct within fiscal year. No action needed. Example: insurance billed annually in Q1 vs. budgeted monthly.
  • Permanent: will persist for remainder of year. Forecast should be adjusted. Example: new contract at higher rate.
  • One-time: non-recurring. No forecast adjustment. Example: emergency roof repair.
  • Trend: getting worse or better over time. Requires monitoring or intervention. Example: utility costs increasing month-over-month.

Step 5: YTD and Full-Year Projection

  • For each material variance, calculate YTD cumulative impact.
  • If permanent or trend: project full-year impact by annualizing.
  • If timing: show expected reversal period.
  • If one-time: show no additional impact.
  • Sum all projected impacts for total full-year NOI variance estimate.

Step 6: Narrative Drafting

For each material variance, draft a paragraph:

  • State the line item, variance amount, and percentage.
  • State the classification (timing/permanent/one-time/trend).
  • Explain the root cause in plain language.
  • State the YTD impact.
  • If permanent or trend: state projected full-year impact.
  • If action needed: state the recommended action.

Step 7: NOI Impact Summary

  • Total revenue variance (favorable/unfavorable).
  • Total expense variance (favorable/unfavorable).
  • Net NOI impact (actual vs. budget).
  • Whether NOI is tracking above or below budget and by how much.
  • Reforecast recommendation: trigger if YTD NOI variance > 5% or any permanent classification with annual impact > $50K.

Step 8: Action Items

Extract specific action items:

  • Vendor negotiations needed.
  • Budget amendments to propose.
  • Operational changes (reduce consumption, rebid contracts).
  • Items requiring ownership approval.
  • Urgency: [IMMEDIATE] / [NEXT MONTH] / [BUDGET CYCLE].

Step 9: Prior Period Continuity

If prior month narrative provided:

  • Cross-reference previously flagged items.
  • Note items that resolved (timing variances that self-corrected).
  • Note items worsening (trend variances accelerating).
  • Flag new variances not present in prior months.

Output Format

1. Executive Summary

2-3 sentences: overall NOI vs. budget, key drivers, reforecast recommendation.

Format: "For [month], [property] NOI was $X vs. budget of $Y, a [favorable/unfavorable] variance of $Z (X%). The primary drivers were [top 2-3 items]."

2. Variance Summary Table

Line ItemBudgetActualVariance $Variance %ClassificationFull-Year Impact

3. Narrative Report

Ownership-ready paragraphs organized by:

  • Revenue variances (first)
  • Operating expense variances (by GL category)
  • Below-the-line items

4. NOI Impact Summary

MetricBudgetActualVariance
Effective Gross Revenue
Total Operating Expenses
Net Operating Income
YTD NOI vs. Budget
Projected Full-Year NOI

5. Reforecast Recommendation

Yes/No with explanation. Which line items and in which direction.

6. Action Items

Numbered list with urgency tags: [IMMEDIATE] / [NEXT MONTH] / [BUDGET CYCLE].

7. Immaterial Variance Note

"X line items had variances below materiality thresholds. Total immaterial variance: $Y."

Red Flags and Failure Modes

  1. Do not invent causes: If the user has not provided context and the cause is not obvious, say "cause to be confirmed by property management." Do not speculate.
  2. Dual threshold matters: Both percentage AND absolute must be exceeded. A $200 variance at 20% is immaterial. A $50K variance at 1% may warrant mention.
  3. Tone calibration: Professional, factual, action-oriented. No hedging. State the cause, impact, and plan.
  4. Continuity tracking: When prior narratives are provided, explicitly reference resolution status.
  5. Timing vs. permanent misclassification: The most consequential error. Calling a permanent variance "timing" delays action; calling a timing variance "permanent" triggers unnecessary reforecasting.

Chain Notes

DirectionSkillRelationship
Upstreamvendor-invoice-validatorValidated and coded invoices produce the actuals
Upstreamcpi-escalation-calculatorEscalation timing explains revenue variances
Downstreamlender-compliance-certificateVariance context informs lender reporting
Downstreamdebt-covenant-monitorNOI variance impacts covenant metrics
Parallelproperty-tax-appeal-analyzerTax variances may trigger appeal analysis
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