Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Divides records into geographic or account-ownership territories. Use when the user provides records with location or account data and wants consistent territory assignments with unresolved locations flagged.
.claude/skills/spiralcrew-ou-territory-segmentation/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✗→✓ | ▲ Improved | -24% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -6% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 48% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 23% | 0% |
| case-15 | ✗→✓ | ▲ Improved | -7% | 0% |
Divide records into geographic or account-ownership territories with allocation notes.
Return one assignment per record with the following fields:
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 6,202 | 2,853 | -54% | 1 | 1 | 0% | 1,003 | 870 | -13% | 0 | 0 | — |
case-02 | pass→pass | 8,716 | 3,422 | -61% | 1 | 1 | 0% | 1,377 | 978 | -29% | 0 | 0 | — |
case-03 | fail→pass | 6,678 | 4,151 | -38% | 1 | 1 | 0% | 1,438 | 1,094 | -24% | 0 | 0 | — |
case-04 | pass→pass | 6,903 | 7,422 | +8% | 1 | 1 | 0% | 1,134 | 1,477 | +30% | 0 | 0 | — |
case-05 | fail→pass | 8,858 | 5,443 | -39% | 1 | 1 | 0% | 1,329 | 1,243 | -6% | 0 | 0 | — |
case-14 | pass→pass | 7,636 | 4,328 | -43% | 1 | 1 | 0% | 1,259 | 1,090 | -13% | 0 | 0 | — |
case-06 | pass→pass | 3,125 | 4,661 | +49% | 1 | 1 | 0% | 489 | 1,116 | +128% | 0 | 0 | — |
case-07 | pass→pass | 2,334 | 7,294 | +213% | 1 | 1 | 0% | 344 | 1,013 | +194% | 0 | 0 | — |
case-08 | pass→pass | 2,147 | 2,826 | +32% | 1 | 1 | 0% | 383 | 892 | +133% | 0 | 0 | — |
case-09 | pass→pass | 8,261 | 3,015 | -64% | 1 | 1 | 0% | 1,348 | 887 | -34% | 0 | 0 | — |
case-10 | pass→pass | 4,315 | 3,828 | -11% | 1 | 1 | 0% | 760 | 1,033 | +36% | 0 | 0 | — |
case-11 | fail→pass | 4,423 | 3,730 | -16% | 1 | 1 | 0% | 651 | 962 | +48% | 0 | 0 | — |
case-12 | fail→pass | 3,786 | 3,145 | -17% | 1 | 1 | 0% | 728 | 893 | +23% | 0 | 0 | — |
case-13 | pass→pass | 4,303 | 7,846 | +82% | 1 | 1 | 0% | 780 | 1,666 | +114% | 0 | 0 | — |
case-15 | fail→pass | 6,392 | 3,414 | -47% | 1 | 1 | 0% | 1,012 | 946 | -7% | 0 | 0 | — |
case-16 | pass→pass | 2,195 | 3,314 | +51% | 1 | 1 | 0% | 361 | 885 | +145% | 0 | 0 | — |
case-17 | pass→pass | 5,219 | 2,896 | -45% | 1 | 1 | 0% | 877 | 893 | +2% | 0 | 0 | — |
case-18 | fail→pass | 2,723 | 3,108 | +14% | 1 | 1 | 0% | 532 | 878 | +65% | 0 | 0 | — |
case-19 | fail→pass | 5,595 | 4,265 | -24% | 1 | 1 | 0% | 949 | 1,110 | +17% | 0 | 0 | — |
case-20 | fail→pass | 12,071 | 4,129 | -66% | 1 | 1 | 0% | 2,320 | 999 | -57% | 0 | 0 | — |
case-21 | fail→fail | 18,310 | 13,476 | -26% | 1 | 1 | 0% | 3,943 | 3,034 | -23% | 0 | 0 | — |
case-22 | fail→fail | 3,697 | 3,925 | +6% | 1 | 1 | 0% | 819 | 1,085 | +32% | 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 +36 percentage points is the difference between those two pass rates over the 22 comparable cases.
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.