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This skill should be used when the user asks to "calculate MRR", "analyze churn", "compute SaaS metrics", "do cohort retention analysis", "calculate LTV or CAC", "evaluate unit economics", or "track subscription revenue growth".
Passed 18 of 22 test cases with the skill, and 13 of 22 without it.
and 2 more in the full report
5 fixed13 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
We have a JSON file named `metrics.json` containing customer acquisition cost data, ARPU, and churn rate. Which CLI script should we run to calculate our LTV:CAC ratio and payback period?
| Checked | Without skill | With skill |
|---|---|---|
| Directs the user to run `python scripts/unit_economics.py metrics.json`. | Missed | Passed |
The instructions your model reads when the skill loads.
Production-ready SaaS metrics toolkit for calculating MRR/ARR, analyzing cohort retention, and evaluating unit economics. Designed for SaaS founders, finance teams, and growth operators who need precise subscription revenue analysis without spreadsheet gymnastics.
Before calculating, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
# Calculate MRR, ARR, growth rate, and churn from subscription data
python scripts/mrr_calculator.py subscriptions.csv
# Run cohort retention analysis
python scripts/cohort_analyzer.py users.csv --cohort-period monthly
# Calculate LTV, CAC, LTV:CAC ratio, and payback period
python scripts/unit_economics.py metrics.json
| Tool | Purpose | Input | Output |
|---|---|---|---|
mrr_calculator.py | MRR, ARR, growth rate, churn | CSV with subscription data | Revenue metrics + trends |
cohort_analyzer.py | Cohort retention analysis | CSV with user signup/activity data | Retention matrix + curves |
unit_economics.py | LTV, CAC, LTV:CAC, payback | JSON with acquisition/revenue data | Unit economics dashboard |
test cases passed, vs 13 / 22 without
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