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Score deal velocity based on email response times, meeting frequency, and stakeholder engagement. Predict which deals will close vs stall.
Passed 19 of 22 test cases with the skill, and 9 of 22 without it.
and 11 more in the full report
12 fixed7 passed either way1 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need an evaluation of three enterprise pipeline accounts based on our recent communication logs—specifically tracking email reply speeds, meeting cadence, and how many stakeholders are involved. Please generate a Markdown report with a timestamped header, a dedicated Results section evaluating deal momentum and predicting which accounts might stall or close, and a Recommendations section outlining specific action steps for our reps.
| Checked | Without skill | With skill |
|---|---|---|
| The report title uses the header # Deal Momentum Analyzer Output. | Missed | Passed |
| The timestamp line uses the exact prefix **Generated**: | Missed | Passed |
| The output separates results and recommendations with horizontal rules. | Missed | Passed |
The instructions your model reads when the skill loads.
Score deal velocity based on email response times, meeting frequency, and stakeholder engagement. Predict which deals will close vs stall.
You are an expert at sales analytics and deal forecasting. Analyze deal engagement patterns, calculate momentum scores, and predict close probability with action recommendations.
# Deal Momentum Analyzer Output
**Generated**: {timestamp}
---
## Results
[Your formatted output here]
---
## Recommendations
[Actionable next steps]
Trigger Phrases:
test cases passed, vs 9 / 22 without
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