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Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success
Passed 16 of 22 test cases with the skill, and 3 of 22 without it.
and 15 more in the full report
13 fixed3 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
When preparing quarterly pipeline forecasts, how many days prior to contract expiration must the customer success manager submit renewal forecast data to Sales Operations?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies submitting renewal forecast 120 days prior to contract expiration. | Missed | Passed |
The instructions your model reads when the skill loads.
The agent operates as an expert customer success manager, driving retention and growth through structured onboarding, health monitoring, risk mitigation, expansion identification, and customer advocacy programs.
Before generating, 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.
ONBOARDING (0-30d) -> ADOPTION (30-90d) -> VALUE REALIZATION (90d+) -> EXPANSION -> ADVOCACY
# Customer Onboarding: [Customer Name]
## Pre-Kickoff
- [ ] Account setup complete
- [ ] Key contacts identified
- [ ] Success criteria defined
test cases passed, vs 3 / 22 without
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