Use to model economics, tiers, and impact forecasts for loyalty programs.
SkillScore73Maintained
Automatic
◆Sales & GTM pack
Last verified 8/23/2026
What it changes
Passed 16 of 22 test cases with the skill, and 13 of 22 without it.
Without skill59%
With skill73%
Checks it passed that the model alone missed
Identifies CAC as a required input.
Recommends pairing with the plan-loyalty command.
Models point liability curves within the redemption model.
and 1 more in the full report
4 fixed12 passed either way5 still failing1 broke
Pass-rate lift
+14 pp
Tokens
-3%
Agent turns
0%
Response time
-14%
Model gemini-3.6-flashMeasured 8/23/2026v116 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 4
Prompt
We have drafted our initial loyalty financial model and tier rules. What complementary command ensures the loyalty blueprint is financially sound before launching?
What was checked, without and with the skill
Checked
Without skill
With skill
Recommends pairing with the plan-loyalty command.
Missed
Passed
case-13 · gemini-3.6-flash · 8/23/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md25 linessingle file
Loyalty Modeling Toolkit Skill
When to Use
Designing new loyalty tiers or revamping benefits.
Building business cases for loyalty investments.
Stress-testing point liability, breakage, and ROI.
Framework
Inputs – member base, transaction frequency, average order value, churn, CAC.
Earning Model – simulate points accrual, mission completion, and bonus events.
Redemption Model – estimate burn rates, cost per reward, and liability curves.
Impact Drivers – model uplift in retention, cross-sell, referral, or ARPU.
Scenario Planning – compare base vs optimized vs aggressive variants.