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/qualify <deal_name>
Passed 19 of 23 test cases with the skill, and 11 of 23 without it.
and 10 more in the full report
9 fixed10 passed either way3 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
Can you evaluate our "Acme Corp Enterprise Deal" using the standard sales qualification framework? I need a breakdown across all MEDDPICC areas, the calculated total score percentage, the single biggest risk gap, a prioritized list of steps to address key weaknesses, and a final pipeline stage recommendation on whether to push forward, pause, or pull back.
| Checked | Without skill | With skill |
|---|---|---|
| Scores each MEDDPICC category on a 0 to 3 scale. | Missed | Passed |
| Calculates the overall percentage score based on a 24-point maximum sum. | Missed | Passed |
The instructions your model reads when the skill loads.
/qualify <deal_name>
Run MEDDPICC scoring on a deal with gap analysis and prescribed next actions.
| Arg | Type | Required | Description |
|---|---|---|---|
| deal_name | string | Yes | Name of the deal to qualify |
Genre: scorecard Format: Markdown (MEDDPICC Scorecard template)
Produces:
1. Pull deal context: all known information, meeting notes, prospect data
2. Score each MEDDPICC letter 0-3:
0 = Unknown (no data)
1 = Identified (mentioned but unverified)
2 = Validated (confirmed in conversation)
3 = Confirmed with evidence (documented, multi-sourced)
3. Calculate overall percentage: (sum / 24) * 100
4. Identify weakest letter as critical gap
5. Generate prescribed actions targeting the top 2-3 gaps
6. Recommend stage action: advance (>= 60%), hold (40-59%), retreat (< 40%)
test cases passed, vs 11 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.