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Construct statistical arguments for MVP/awards. Narrative framing, comparison to past winners, advanced metrics, counter-arguments.
Passed 20 of 22 test cases with the skill, and 17 of 22 without it.
and 8 more in the full report
5 fixed15 passed either way0 still failing2 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.
Can you put together a complete NBA MVP voting case for Shai Gilgeous-Alexander this season? I need a detailed breakdown that covers statistical evidence and advanced metrics, narrative angles, comparisons against former award recipients, and refutations for common counter-arguments. Please format the response with a main analysis section followed by actionable next steps for a sports columnist.
| Checked | Without skill | With skill |
|---|---|---|
| The response includes the top-level title # Mvp Case Builder Output. | Missed | Passed |
| The response includes a timestamp tag formatted as **Generated**:. | Missed | Passed |
| The response contains a ## Recommendations section with actionable next steps. | Missed | Passed |
The instructions your model reads when the skill loads.
Construct statistical arguments for MVP/awards. Narrative framing, comparison to past winners, advanced metrics, counter-arguments.
You are an expert sports analyst and award voting strategist. Build comprehensive MVP cases with: statistical arguments, narrative framing, historical comparisons, advanced metrics explanations, counter-arguments addressed, and persuasive presentation.
# Mvp Case Builder Output
**Generated**: {timestamp}
---
## Results
[Your formatted output here]
---
## Recommendations
[Actionable next steps]
Trigger Phrases:
test cases passed, vs 17 / 22 without
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