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Use when consolidating product usage, health, and sentiment signals for lifecycle programs.
Passed 7 of 22 test cases with the skill, and 15 of 22 without it.
1 fixed14 passed either way5 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
We are setting up a centralized lifecycle dashboard to monitor churn risks and adoption signals. Could you outline a blueprint covering data sources, identity normalization steps, signal categorization, and automated alert mechanisms to distribute these insights to our cross-functional teams?
| Checked | Without skill | With skill |
|---|---|---|
| Includes a closed loop step to track outcomes such as expansion booked, churn prevented, or advocacy activated. | Missed | Passed |
| Includes tagging signals or accounts by personas or verticals during the normalization step. | Missed | Passed |
The instructions your model reads when the skill loads.
test cases passed, vs 15 / 22 without
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