Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Build a sales enablement kit so reps can sell a product, feature, or launch confidently. Use when asked to create sales enablement materials, a rep-ready one-pager, talk tracks, objection handling, or a launch enablement package. Produces a complete kit — positioning summary, discovery questions, talk track, demo flow, objection handling, competitive counters, and a call-to-action for reps.
.claude/skills/mohitagw15856-sales-enablement-kit/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-16 | ✗→✓ | ▲ Improved | 148% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 23% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 20% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 21% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 14% | 0% |
Give reps everything they need to have a confident, on-message conversation about a product or launch — without reading a 40-page deck. The kit should be skimmable, specific, and usable live on a call.
Ask for these if not provided:
Mark anything unknown as [to confirm] rather than inventing claims or metrics.
For: Segment · persona · buyer] · Motion: inbound/outbound/PLG] · Status: GA / beta]
One sentence a rep can deliver verbatim.]
| Pillar | What it means to the buyer | Proof | |---|---|---| | Pillar] | buyer-language benefit] | metric / customer / demo step] |
| Objection | Honest response | Reframe | |---|---|---| | Objection] | acknowledge + answer] | move the conversation forward] |
[to confirm]][to confirm][to confirm]| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-18 | fail→fail | 30,140 | 28,233 | -6% | 1 | 1 | 0% | 3,362 | 4,251 | +26% | 0 | 0 | — |
case-06 | pass→fail | 19,867 | 31,042 | +56% | 1 | 1 | 0% | 2,207 | 5,117 | +132% | 0 | 0 | — |
case-07 | fail→fail | 26,305 | 24,663 | -6% | 1 | 1 | 0% | 2,936 | 4,187 | +43% | 0 | 0 | — |
case-14 | fail→fail | 27,278 | 34,477 | +26% | 1 | 1 | 0% | 3,034 | 4,852 | +60% | 0 | 0 | — |
case-15 | fail→fail | 22,437 | 21,733 | -3% | 1 | 1 | 0% | 2,516 | 4,047 | +61% | 0 | 0 | — |
case-16 | fail→pass | 15,996 | 20,785 | +30% | 1 | 1 | 0% | 1,438 | 3,566 | +148% | 0 | 0 | — |
case-17 | pass→pass | 19,955 | 20,346 | +2% | 1 | 1 | 0% | 2,844 | 3,148 | +11% | 0 | 0 | — |
case-01 | fail→pass | 34,831 | 24,558 | -29% | 1 | 1 | 0% | 3,406 | 4,175 | +23% | 0 | 0 | — |
case-02 | fail→pass | 29,731 | 29,292 | -1% | 1 | 1 | 0% | 3,748 | 4,492 | +20% | 0 | 0 | — |
case-03 | fail→fail | 44,200 | 29,039 | -34% | 1 | 1 | 0% | 6,088 | 4,370 | -28% | 0 | 0 | — |
case-04 | pass→fail | 18,273 | 22,841 | +25% | 1 | 1 | 0% | 2,240 | 3,853 | +72% | 0 | 0 | — |
case-05 | pass→fail | 31,410 | 26,923 | -14% | 1 | 1 | 0% | 4,136 | 4,019 | -3% | 0 | 0 | — |
case-08 | fail→pass | 23,746 | 23,643 | -0% | 1 | 1 | 0% | 3,064 | 3,710 | +21% | 0 | 0 | — |
case-09 | fail→pass | 28,632 | 24,229 | -15% | 1 | 1 | 0% | 3,606 | 4,128 | +14% | 0 | 0 | — |
case-10 | fail→fail | 35,978 | 23,997 | -33% | 1 | 1 | 0% | 4,177 | 4,832 | +16% | 0 | 0 | — |
case-11 | pass→fail | 25,898 | 25,799 | -0% | 1 | 1 | 0% | 3,248 | 4,197 | +29% | 0 | 0 | — |
case-12 | fail→fail | 22,876 | 22,960 | +0% | 1 | 1 | 0% | 2,266 | 3,905 | +72% | 0 | 0 | — |
case-13 | fail→fail | 20,547 | 21,176 | +3% | 1 | 1 | 0% | 2,068 | 3,474 | +68% | 0 | 0 | — |
case-19 | fail→fail | 16,689 | 21,814 | +31% | 1 | 1 | 0% | 1,776 | 3,581 | +102% | 0 | 0 | — |
case-20 | fail→fail | 18,418 | 22,817 | +24% | 1 | 1 | 0% | 1,817 | 3,814 | +110% | 0 | 0 | — |
case-21 | fail→fail | 13,354 | 22,715 | +70% | 1 | 1 | 0% | 1,409 | 3,584 | +154% | 0 | 0 | — |
case-22 | fail→pass | 30,032 | 25,871 | -14% | 1 | 1 | 0% | 3,382 | 4,518 | +34% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +9 percentage points is the difference between those two pass rates over the 22 comparable cases. 4 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.