saas-metrics-coach
Provides analysis and insights on core SaaS financial metrics.
Install
mkdir -p .claude/skills/saas-metrics-coach && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/2991" && unzip -o skill.zip -d .claude/skills/saas-metrics-coach && rm skill.zipInstalls to .claude/skills/saas-metrics-coach
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
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.Key capabilities
- →Calculate SaaS financial metrics
- →Benchmark metrics against industry standards
- →Identify critical business health issues
- →Generate 90-day focus recommendations
How it works
The skill processes raw business inputs through calculation scripts and compares results against segment-specific benchmarks to provide prioritized actionable advice.
Inputs & outputs
When to use saas-metrics-coach
- →Calculate current churn rate impacts
- →Assess LTV vs CAC balance
- →Analyze monthly recurring revenue trends
About this skill
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.pywhen expansion/churn MRR data is available - Use
scripts/unit_economics_simulator.pyfor forward-looking projections
Step 3 — Benchmark Each Metric
Load references/benchmarks.md. For each metric show:
- The calculated value
- The relevant benchmark range for the user's segment and stage
- A plain status label: HEALTHY / WATCH / CRITICAL
Match the benchmark tier to the user's market segment (Enterprise / Mid-Market / SMB / PLG) and company stage (Early / Growth / Scale). Ask if unclear.
Step 4 — Prioritize and Recommend
Identify the top 2-3 metrics at WATCH or CRITICAL status. For each one state:
- What is happening (one sentence, plain English)
- Why it matters to the business
- Two or three specific actions to take this month
Order by impact — address the most damaging problem first.
Step 5 — Output Format
Always use this exact structure:
# SaaS Health Report — [Month Year]
## Metrics at a Glance
| Metric | Your Value | Benchmark | Status |
|--------|------------|-----------|--------|
## Overall Picture
[2-3 sentences, plain English summary]
## Priority Issues
### 1. [Metric Name]
What is happening: ...
Why it matters: ...
Fix it this month: ...
### 2. [Metric Name]
...
## What is Working
[1-2 genuine strengths, no padding]
## 90-Day Focus
[Single metric to move + specific numeric target]
Examples
Example 1 — Partial data
Input: "MRR is $80k, we have 200 customers, about 3 cancel each month."
Expected output: Calculates ARPA ($400), monthly churn (1.5%), ARR ($960k), LTV estimate. Flags CAC and growth rate as missing. Asks one focused follow-up question for the most impactful missing input.
Example 2 — Critical scenario
Input: "MRR $22k (was $23.5k), 80 customers, lost 9, gained 6, spent $15k on ads, 65% gross margin."
Expected output: Flags negative MoM growth (-6.4%), critical churn (11.25%), and LTV:CAC of 0.64:1 as CRITICAL. Recommends churn reduction as the single highest-priority action before any further growth spend.
Key Principles
- Be direct. If a metric is bad, say it is bad.
- Explain every metric in one sentence before showing the number.
- Cap priority issues at three. More than three paralyzes action.
- Context changes benchmarks. Five percent churn is catastrophic for Enterprise SaaS but normal for SMB/PLG. Always confirm the user's target market before scoring.
Reference Files
references/formulas.md— All metric formulas with worked examplesreferences/benchmarks.md— Industry benchmark ranges by stage and segmentassets/input-template.md— Blank input form to share with usersscripts/metrics_calculator.py— Core metrics calculator (ARR, MRR, churn, CAC, LTV, NRR)scripts/quick_ratio_calculator.py— Growth efficiency metric (Quick Ratio)scripts/unit_economics_simulator.py— 12-month forward projection
Tools
1. Metrics Calculator (scripts/metrics_calculator.py)
Core SaaS metrics from raw business numbers.
# Interactive mode
python scripts/metrics_calculator.py
# CLI mode
python scripts/metrics_calculator.py --mrr 50000 --customers 100 --churned 5 --json
2. Quick Ratio Calculator (scripts/quick_ratio_calculator.py)
Growth efficiency metric: (New MRR + Expansion) / (Churned + Contraction)
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
Benchmarks:
- < 1.0 = CRITICAL (losing faster than gaining)
- 1-2 = WATCH (marginal growth)
- 2-4 = HEALTHY (good efficiency)
- > 4 = EXCELLENT (strong growth)
3. Unit Economics Simulator (scripts/unit_economics_simulator.py)
Project metrics forward 12 months based on growth/churn assumptions.
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
Use for:
- "What if we grow at X% per month?"
- Runway projections
- Scenario planning (best/base/worst case)
Related Skills
- financial-analyst: Use for DCF valuation, budget variance analysis, and traditional financial modeling. NOT for SaaS-specific metrics like CAC, LTV, or churn.
- business-growth/customer-success: Use for retention strategies and customer health scoring. Complements this skill when churn is flagged as CRITICAL.
When not to use it
- →Traditional financial modeling
- →Budget variance analysis
Prerequisites
Limitations
- →Requires accurate input data
- →Benchmarks vary by company stage and segment
How it compares
It provides SaaS-specific financial coaching based on industry benchmarks, whereas manual analysis lacks context-aware scoring.
Compared to similar skills
saas-metrics-coach side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| saas-metrics-coach (this skill) | 1 | 3mo | Review | Intermediate |
| quant-analyst | 103 | 2mo | No flags | Advanced |
| stock-analyzer | 71 | 2mo | Review | Beginner |
| creating-financial-models | 36 | 8mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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