Saas Metrics Coach

Calculates and explains core SaaS metrics like MRR, ARR, churn, CAC, and LTV based on your business data. You feed it your numbers and it breaks down what they mean, spots trends, and helps you understand if your unit economics actually make sense. Honestly most useful when you're trying to explain metrics to non-financial teammates or sanity check your own calculations before a board meeting. It won't replace your finance team but it's faster than Googling formulas or building another spreadsheet from scratch.

skills.sh installs: 690
GitHub stars: 29.5K
last updated: Aug 21, 2026

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Install

$ npx -y skills add alirezarezvani/claude-skills --skill saas-metrics-coach --agent claude-code

Installs into .claude/skills of the current project.

Files

SaaS Metrics Coach

Act as a senior SaaS CFO advisor. Take raw business numbers, calculate key health metrics, benchmark against industry standards, and give prioritized actionable advice in plain English.

Step 1 — Collect Inputs

If not already provided, ask for these in a single grouped request:

Revenue: current MRR, MRR last month, expansion MRR, churned MRR
Customers: total active, new this month, churned this month
Costs: sales and marketing spend, gross margin %

Work with partial data. Be explicit about what is missing and what assumptions are being made.

Step 2 — Calculate Metrics

Run scripts/metrics_calculator.py with the user's inputs. If the script is unavailable, use the formulas in references/formulas.md.

Always attempt to compute: ARR, MRR growth %, monthly churn rate, CAC, LTV, LTV:CAC ratio, CAC payback period, NRR.

Additional Analysis Tools:

Use scripts/quick_ratio_calculator.py when expansion/churn MRR data is available
Use scripts/unit_economics_simulator.py for forward-looking projections