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Get Started Free →This skill should be used when the user asks to "plan team structure", "determine hiring needs", "design org chart", "calculate compensation", "plan equity allocation", or requests organizational design and headcount planning for a startup.
.claude/skills/dokhacgiakhoa-team-composition-analysis/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-11 | ✓→✓ | ＝ Same ✓ | 43% | 0% |
| case-12 | ✓→✓ | ＝ Same ✓ | 54% | 0% |
| case-16 | ✓→✓ | ＝ Same ✓ | 31% | 0% |
| case-18 | ✓→✓ | ＝ Same ✓ | 43% | 0% |
| case-19 | ✓→✓ | ＝ Same ✓ | 32% | 0% |
Design optimal team structures, hiring plans, compensation strategies, and equity allocation for early-stage startups from pre-seed through Series A.
resources/implementation-playbook.md.Build the right team at the right time with appropriate compensation and equity. Plan role-by-role hiring aligned with revenue milestones, budget constraints, and market benchmarks.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 22,729 | 26,332 | +16% | 1 | 1 | 0% | 3,076 | 4,647 | +51% | 0 | 0 | — |
case-02 | fail→fail | 32,439 | 34,587 | +7% | 1 | 1 | 0% | 4,774 | 5,916 | +24% | 0 | 0 | — |
case-03 | fail→fail | 38,892 | 24,154 | -38% | 1 | 1 | 0% | 6,779 | 5,818 | -14% | 0 | 0 | — |
case-04 | fail→fail | 24,248 | 27,181 | +12% | 1 | 1 | 0% | 3,168 | 4,535 | +43% | 0 | 0 | — |
case-05 | fail→fail | 24,796 | 28,421 | +15% | 1 | 1 | 0% | 3,378 | 4,845 | +43% | 0 | 0 | — |
case-06 | fail→fail | 23,552 | 29,641 | +26% | 1 | 1 | 0% | 4,138 | 6,193 | +50% | 0 | 0 | — |
case-07 | fail→fail | 18,194 | 19,288 | +6% | 1 | 1 | 0% | 2,309 | 3,177 | +38% | 0 | 0 | — |
case-08 | fail→fail | 15,871 | 22,962 | +45% | 1 | 1 | 0% | 2,621 | 3,813 | +45% | 0 | 0 | — |
case-09 | fail→fail | 19,445 | 16,931 | -13% | 1 | 1 | 0% | 2,371 | 2,925 | +23% | 0 | 0 | — |
case-10 | fail→fail | 15,488 | 21,363 | +38% | 1 | 1 | 0% | 2,250 | 3,524 | +57% | 0 | 0 | — |
case-11 | pass→pass | 15,494 | 21,185 | +37% | 1 | 1 | 0% | 2,329 | 3,333 | +43% | 0 | 0 | — |
case-12 | pass→pass | 19,463 | 16,862 | -13% | 1 | 1 | 0% | 2,348 | 3,612 | +54% | 0 | 0 | — |
case-13 | fail→fail | 15,122 | 16,867 | +12% | 1 | 1 | 0% | 2,594 | 2,897 | +12% | 0 | 0 | — |
case-14 | fail→fail | 14,700 | 13,246 | -10% | 1 | 1 | 0% | 1,816 | 2,396 | +32% | 0 | 0 | — |
case-15 | fail→fail | 18,566 | 13,833 | -25% | 1 | 1 | 0% | 2,133 | 2,776 | +30% | 0 | 0 | — |
case-16 | pass→pass | 16,186 | 14,669 | -9% | 1 | 1 | 0% | 2,503 | 3,267 | +31% | 0 | 0 | — |
case-17 | fail→fail | 17,354 | 15,249 | -12% | 1 | 1 | 0% | 2,269 | 2,645 | +17% | 0 | 0 | — |
case-18 | pass→pass | 21,797 | 19,852 | -9% | 1 | 1 | 0% | 2,368 | 3,393 | +43% | 0 | 0 | — |
case-19 | pass→pass | 12,815 | 17,240 | +35% | 1 | 1 | 0% | 2,244 | 2,951 | +32% | 0 | 0 | — |
case-20 | pass→pass | 19,194 | 19,093 | -1% | 1 | 1 | 0% | 2,330 | 3,256 | +40% | 0 | 0 | — |
case-21 | fail→fail | 19,047 | 12,733 | -33% | 1 | 1 | 0% | 1,986 | 2,103 | +6% | 0 | 0 | — |
case-22 | pass→pass | 14,354 | 17,394 | +21% | 1 | 1 | 0% | 2,351 | 2,743 | +17% | 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 0 percentage points is the difference between those two pass rates over the 22 comparable cases.
Other measured skills in the registry, with their headline benchmark lift.