saas-metrics-coach
SaaS financial health advisor. Use when a user shares revenue or customer numbers, or mentions ARR, MRR, churn, LTV, CAC, NRR, or asks how their SaaS business is doing.
Profile →npx skills add alirezarezvani/claude-skills --skill saas-metrics-coach --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 ## Step 3 — Benchmark Each Metric Load `references/benchmarks.md`. For each metric show: - The calculated value - The relevant benchmark range for th
- Step 1 — Collect Inputs
- Step 2 — Calculate Metrics
- Step 3 — Benchmark Each Metric
- Step 4 — Prioritize and Recommend
- Step 5 — Output Format
- Examples
- Key Principles
- Reference Files
- Tools
- 1. Metrics Calculator (scripts/metricscalculator.py)
- 2. Quick Ratio Calculator (scripts/quickratiocalculator.py)
- 3. Unit Economics Simulator (scripts/uniteconomicssimulator.py)
- Related Skills
Interactive mode python scripts/metrics_calculator.py CLI mode python scripts/metrics_calculator.py --mrr 50000 --customers 100 --churned 5 --json python scripts/quick_ratio_calculator.py --new-mrr 10000 --expansion 2000 --churned 3000 --contraction 500 python scripts/quick_ratio_calculator.py --new-mrr 10000 --expansion 2000 --churned 3000 --json python scripts/unit_economics_simulator.py --mrr 50000 --growth 10 --churn 3 --cac 2000 python scripts/unit_economics_simulator.py --mrr 50000 --growth 10 --churn 3 --cac 2000 --json
What does the saas-metrics-coach skill do?
SaaS financial health advisor. Use when a user shares revenue or customer numbers, or mentions ARR, MRR, churn, LTV, CAC, NRR, or asks how their SaaS business is doing.
How do I install it?
Run `npx skills add alirezarezvani/claude-skills --skill saas-metrics-coach --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From alirezarezvani/claude-skills, a repository with 23,791 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.