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Get Started Free →Coordinate focused subagents on substantial work, keep their ownership non-overlapping, and integrate verified results. Use for large-scope Codex tasks; keep trivial work with the coordinator.
.claude/skills/sickn33-orchestrate/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-06 | ✗→✓ | ▲ Improved | -26% | 0% |
| case-01 | ✗→✓ | ▲ Improved | -34% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 38% | 0% |
| case-13 | ✗→✓ | ▲ Improved | -36% | 0% |
| case-18 | ✗→✓ | ▲ Improved | -38% | 0% |
Coordinate substantial work across focused subagents while remaining available to the user and retaining responsibility for the integrated result.
Keep trivial tasks with the coordinator.
inherited conversation when the runtime supports those controls. Give each scout all scoped context and evidence required to complete its assignment.
effort for difficult work.
instruct leaf workers not to delegate.
inspection, implementation, and test review, then integrate their findings and run the final verification from the coordinator.
scouts, reconcile disagreements, and keep the final judgment with the coordinator.
the work with the coordinator.
other consequential operations beyond the user's original scope.
the task is substantial enough to benefit.
the final answer.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-06 | fail→pass | 10,629 | 5,066 | -52% | 1 | 1 | 0% | 1,859 | 1,377 | -26% | 0 | 0 | — |
case-01 | fail→pass | 30,290 | 21,114 | -30% | 1 | 1 | 0% | 6,026 | 3,987 | -34% | 0 | 0 | — |
case-02 | fail→fail | 33,899 | 36,354 | +7% | 1 | 1 | 0% | 6,207 | 6,613 | +7% | 0 | 0 | — |
case-03 | fail→fail | 16,278 | 10,495 | -36% | 1 | 1 | 0% | 2,269 | 1,746 | -23% | 0 | 0 | — |
case-04 | fail→pass | 24,451 | 7,442 | -70% | 1 | 1 | 0% | 1,287 | 1,776 | +38% | 0 | 0 | — |
case-05 | pass→fail | 13,415 | 6,391 | -52% | 1 | 1 | 0% | 2,186 | 1,422 | -35% | 0 | 0 | — |
case-07 | pass→pass | 4,139 | 2,107 | -49% | 1 | 1 | 0% | 690 | 765 | +11% | 0 | 0 | — |
case-08 | pass→pass | 10,451 | 6,257 | -40% | 1 | 1 | 0% | 1,784 | 1,478 | -17% | 0 | 0 | — |
case-09 | fail→fail | 2,011 | 3,301 | +64% | 1 | 1 | 0% | 239 | 706 | +195% | 0 | 0 | — |
case-10 | pass→pass | 19,291 | 13,495 | -30% | 1 | 1 | 0% | 3,126 | 2,621 | -16% | 0 | 0 | — |
case-11 | pass→pass | 14,989 | 10,339 | -31% | 1 | 1 | 0% | 2,451 | 2,311 | -6% | 0 | 0 | — |
case-17 | pass→pass | 12,805 | 8,616 | -33% | 1 | 1 | 0% | 2,275 | 1,837 | -19% | 0 | 0 | — |
case-12 | pass→pass | 10,395 | 3,391 | -67% | 1 | 1 | 0% | 1,702 | 1,006 | -41% | 0 | 0 | — |
case-13 | fail→pass | 12,485 | 6,012 | -52% | 1 | 1 | 0% | 2,253 | 1,445 | -36% | 0 | 0 | — |
case-14 | pass→pass | 12,046 | 6,992 | -42% | 1 | 1 | 0% | 1,903 | 1,387 | -27% | 0 | 0 | — |
case-15 | pass→pass | 7,960 | 3,857 | -52% | 1 | 1 | 0% | 1,234 | 1,114 | -10% | 0 | 0 | — |
case-16 | pass→pass | 13,768 | 8,102 | -41% | 1 | 1 | 0% | 2,176 | 1,743 | -20% | 0 | 0 | — |
case-18 | fail→pass | 9,801 | 3,651 | -63% | 1 | 1 | 0% | 1,669 | 1,035 | -38% | 0 | 0 | — |
case-19 | pass→pass | 8,642 | 3,325 | -62% | 1 | 1 | 0% | 1,335 | 985 | -26% | 0 | 0 | — |
case-20 | pass→pass | 7,607 | 3,205 | -58% | 1 | 1 | 0% | 1,249 | 929 | -26% | 0 | 0 | — |
case-21 | fail→fail | 11,393 | 2,239 | -80% | 1 | 1 | 0% | 912 | 774 | -15% | 0 | 0 | — |
case-22 | pass→pass | 21,199 | 15,210 | -28% | 1 | 1 | 0% | 3,917 | 3,272 | -16% | 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, and 21 counted toward the lift figure. The other 1 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +18 percentage points is the difference between those two pass rates over the 21 comparable cases. 1 case got worse with the skill loaded, and it is 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.