Claude-Skills cfo-advisor
git clone https://github.com/borghei/Claude-Skills
T=$(mktemp -d) && git clone --depth=1 https://github.com/borghei/Claude-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/c-level-advisor/cfo-advisor" ~/.claude/skills/borghei-claude-skills-cfo-advisor && rm -rf "$T"
c-level-advisor/cfo-advisor/SKILL.mdCFO Advisor
The agent acts as a fractional CFO, providing financial strategy and operational finance guidance grounded in SaaS benchmarks, GAAP standards, and investor expectations.
Workflow
- Establish financial baseline -- Collect current ARR, burn rate, cash balance, and headcount. Calculate runway in months. Validate that the data is recent (within 30 days).
- Build unit economics -- Calculate CAC, LTV, CAC Payback, LTV:CAC ratio, NRR, and Burn Multiple using the formulas below. Flag any metric outside benchmark ranges.
- Construct financial model -- Build a 3-year model following the Revenue Build and Expense Build structures. Document all key assumptions explicitly.
- Design investor reporting -- Configure the Monthly Metrics Package template. Set up the Board Financial Presentation slide structure for quarterly use.
- Set up cash management -- Build the 13-week cash flow forecast. Establish the monthly rolling forecast. Verify minimum 6-month runway is maintained.
- Establish close cadence -- Implement the Month-End Timeline (Day 1-12). Assign owners to each quality checklist item.
- Assess risk posture -- Review market, credit, and operational risk categories. Confirm insurance coverage is adequate for company stage.
SaaS Unit Economics
CAC = (Sales + Marketing Spend) / New Customers CAC Payback = CAC / (ARPU x Gross Margin) LTV = ARPU x Gross Margin x Customer Lifetime LTV:CAC Ratio = LTV / CAC Target: > 3:1 Logo Retention = (Customers End - New) / Customers Start Net Revenue Retention = (MRR End - Churn + Expansion) / MRR Start
Burn Multiple
Burn Multiple = Net Burn / Net New ARR < 1.0x Excellent efficiency 1.0-1.5x Good efficiency 1.5-2.0x Average > 2.0x Needs improvement
Rule of 40
Rule of 40 = Revenue Growth % + Profit Margin % > 40% Strong performance 20-40% Acceptable < 20% Needs attention
Monthly Metrics Package
FINANCIAL HIGHLIGHTS - Revenue: $X.XM (vs Plan: +/-Y%) - Gross Margin: XX% (vs Plan: +/-Y%) - Operating Loss: $X.XM (vs Plan: +/-Y%) - Cash Balance: $X.XM - Runway: XX months REVENUE METRICS - ARR: $X.XM (+Y% QoQ) - Net New ARR: $XXK - NRR: XXX% - Logo Churn: X.X% EFFICIENCY METRICS - CAC: $X,XXX - CAC Payback: XX months - Burn Multiple: X.Xx
Board Financial Presentation
- Financial summary (1 slide)
- Revenue performance (1-2 slides)
- Expense breakdown (1 slide)
- Cash flow and runway (1 slide)
- Key metrics trends (1 slide)
- Forecast outlook (1 slide)
Revenue Build (Financial Model)
- Starting ARR / customers
- New logo assumptions (by segment)
- Expansion rate
- Churn rate
- Pricing changes
- Segment mix
Expense Build (Financial Model)
- Headcount plan (by department)
- Comp and benefits
- Contractors
- Software / tools
- Facilities
- Marketing programs
- Travel and events
Budget Categories
| Category | Line Items |
|---|---|
| Revenue | New business (by segment), expansion, renewals, professional services |
| Cost of Revenue | Hosting/infrastructure, support, PS delivery, payment processing |
| OpEx | Sales & Marketing, R&D, G&A |
Month-End Close Timeline
| Days | Activity |
|---|---|
| 1-3 | Transaction cutoff |
| 3-5 | Reconciliations |
| 5-7 | Accruals and adjustments |
| 7-10 | Management review |
| 10-12 | Final close |
Quality Checklist: Bank reconciliation, revenue recognition, expense accruals, prepaid amortization, deferred revenue, intercompany elimination, flux analysis.
Revenue Recognition (ASC 606)
- Identify the contract
- Identify performance obligations
- Determine transaction price
- Allocate price to obligations
- Recognize revenue when satisfied
SaaS considerations: Subscription vs usage revenue, implementation services, professional services, multi-year contracts, discounts and credits.
Cash Management
13-Week Cash Flow: Week-by-week projections of all known inflows/outflows. Review weekly. Maintain minimum cash buffer.
Monthly Rolling Forecast: 12-month forward view covering revenue collection timing, payroll, vendor payments, debt service, and CapEx.
Treasury Principles: Maintain 6+ months runway, preserve capital, optimize yield on idle cash, follow investment policy.
Cash Preservation Levers (when extending runway):
- Hiring freeze
- Vendor renegotiation
- Discretionary spend cuts
- Payment term extension
- Revenue acceleration
- Bridge financing
Due Diligence Data Room Checklist
Financial data:
- 3 years historical financials
- Monthly P&L by segment
- Balance sheet and cash flow
- ARR/MRR cohort analysis
- Customer unit economics
- Revenue recognition policy
- AR aging
- AP summary
Projections:
- 3-5 year financial model
- Key assumptions documented
- Sensitivity analysis
- Use of funds breakdown
- Path to profitability
Financial Risk Categories
| Risk Type | Key Concerns |
|---|---|
| Market | Interest rate exposure, FX exposure, customer concentration |
| Credit | Customer creditworthiness, AR aging, bad debt reserves |
| Operational | Internal controls, fraud prevention, systems reliability |
Example: Series-A SaaS Financial Snapshot
A Series-A company ($3M ARR, 35 employees, $12M raised) preparing for Series B:
Unit Economics: CAC: $22K | LTV: $88K | LTV:CAC: 4.0x | CAC Payback: 16 months NRR: 115% | Logo Retention: 90% | Gross Margin: 78% Burn: Monthly burn: $350K | Net new ARR/month: $180K Burn Multiple: 1.9x (average -- needs improvement for Series B) Cash: $5.2M | Runway: 15 months Rule of 40: Revenue growth: 95% YoY | Profit margin: -40% Score: 55% (strong) Board recommendation: Raise in 6 months at current trajectory. Target metrics for raise: Burn Multiple < 1.5x, NRR > 120%.
Essential Insurance Policies
D&O, E&O, Cyber liability, General liability, Workers compensation, Key person insurance.
Scripts
# Unit economics calculator python scripts/unit_economics.py --metrics data.csv # Cash flow projector python scripts/cash_forecast.py --actuals Q1.csv --assumptions model.yaml # Financial model builder python scripts/fin_model.py --template saas --output model.xlsx # Investor metrics dashboard python scripts/investor_metrics.py --period monthly
References
-- Model building guidereferences/financial_modeling.md
-- SaaS metrics deep divereferences/saas_metrics.md
-- Policy documentationreferences/accounting_policies.md
-- Audit readiness guidereferences/audit_prep.md
Tool Reference
financial_health_scorer.py
Comprehensive SaaS financial health assessment: Rule of 40, burn multiple, LTV:CAC, CAC payback, NRR, magic number, and composite score with investor-readiness verdict.
# Run with demo data (Series A SaaS) python scripts/financial_health_scorer.py # Quick assessment with key metrics python scripts/financial_health_scorer.py --arr 3000000 --revenue-growth 95 --profit-margin -40 --burn 350000 --cash 5200000 --nrr 115 --gross-margin 78 --headcount 35 # From JSON file python scripts/financial_health_scorer.py --input financials.json # JSON output python scripts/financial_health_scorer.py --input financials.json --json
burn_rate_calculator.py
Models burn rate, runway under 5 scenarios (current, hiring freeze, 10% cut, 20% cut, revenue acceleration), generates 13-week cash flow forecast, and identifies action triggers.
# Run with demo data python scripts/burn_rate_calculator.py # Quick calculation python scripts/burn_rate_calculator.py --cash 5200000 --revenue 250000 --expenses 600000 --headcount 35 # JSON output python scripts/burn_rate_calculator.py --json
scenario_modeler.py
Three-scenario financial projection engine with probability weighting, sensitivity analysis, and decision triggers. Projects base, upside, and downside cases over 8 quarters.
# Run with demo data python scripts/scenario_modeler.py # Quick model from key inputs python scripts/scenario_modeler.py --arr 3000000 --expenses 900000 --cash 5200000 --quarters 8 # From JSON with custom scenarios python scripts/scenario_modeler.py --input scenarios.json # JSON output python scripts/scenario_modeler.py --json
Troubleshooting
| Problem | Likely Cause | Fix |
|---|---|---|
| Burn multiple shows > 3.0x | Spending significantly outpaces net new ARR | Audit S&M efficiency; consider hiring freeze; validate pipeline conversion rates |
| Rule of 40 score below 20% | Growth has slowed without corresponding margin improvement | Either re-accelerate growth or cut costs to improve margins -- cannot stay in the middle |
| CAC payback exceeds 24 months | Sales cycle too long, ACV too low, or S&M spend too high | Segment CAC by channel; cut underperforming channels; raise ACV through pricing |
| LTV:CAC ratio below 2.0x | Customer lifetime too short (churn) or acquisition too expensive | Address churn first (higher ROI); then optimize CAC by channel |
| NRR below 100% | Contraction and churn exceed expansion revenue | Build expansion playbook; segment churning customers; invest in customer success |
| Financial model assumptions questioned by board | Assumptions not documented or unrealistic | Document every assumption explicitly; show sensitivity analysis for key variables |
| Month-end close takes 15+ days | Manual processes, missing reconciliations, or unclear ownership | Implement the Day 1-12 close timeline; assign owners to each checklist item |
Success Criteria
- Financial health composite score above 65/100 (measured quarterly via financial_health_scorer.py)
- Rule of 40 score maintained above 40% for Series B+ companies
- Burn multiple below 2.0x (below 1.5x for Series B readiness)
- CAC payback under 18 months (under 12 months for top-quartile performance)
- Month-end close completed within 12 business days with zero material adjustments
- Board financial presentation completed 48+ hours before every board meeting
- Cash runway maintained above 12 months at all times (above 18 months preferred)
Scope & Limitations
In Scope: SaaS unit economics, burn rate analysis, financial modeling, cash management, investor reporting, month-end close, revenue recognition (ASC 606), due diligence preparation, scenario modeling.
Out of Scope: Tax planning, legal entity structuring, audit execution, payroll processing, accounts payable/receivable operations, insurance procurement, equity cap table management.
Limitations: Financial health scorer uses industry benchmarks that may not apply to non-SaaS business models. Burn rate calculator uses linear/exponential approximations -- actual cash flows vary with billing cycles and payment timing. Scenario modeler provides directional guidance, not auditable financial projections.
Integration Points
| Skill | Integration |
|---|---|
| Financial scenarios feed board strategy discussions |
| Financial update section; all deck numbers validated through CFO tools |
| Revenue forecasting; pipeline-to-revenue conversion assumptions |
| Headcount budget modeling; fully-loaded cost calculations |
| Compliance budget sizing against quantified risk exposure |
| Financial metrics in the weekly scorecard |
| Routes financial questions; synthesizes CFO + CEO perspectives |