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Get Started Free →DEPRECATED alias for create-agent-onboarding (kept so /create-aiboarding keeps resolving). Prefer create-agent-onboarding, which generates AGENTS.md + CLAUDE.md instead of the legacy AIBOARDING.md.
.claude/skills/hashgraph-online-create-aiboarding/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-19 | ✗→✓ | ▲ Improved | -39% | 0% |
| case-01 | ✗→✓ | ▲ Improved | -74% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -71% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -74% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 1197% | 0% |
This name is a compatibility alias from the v1 (AIBOARDING.md) era.
Announce: "create-aiboarding is deprecated; continuing as create-agent-onboarding."
Then read ../create-agent-onboarding/SKILL.md and follow it in full. Do not duplicate its steps here; that file is the single source of truth. If the repo has an existing AIBOARDING.md, that skill's pre-flight routes to migrate-aiboarding.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-20 | pass→fail | 25,596 | 24,942 | -3% | 1 | 1 | 0% | 2,948 | 3,595 | +22% | 0 | 0 | — |
case-19 | fail→pass | 11,336 | 3,930 | -65% | 1 | 1 | 0% | 1,118 | 681 | -39% | 0 | 0 | — |
case-01 | fail→pass | 25,648 | 9,786 | -62% | 1 | 1 | 0% | 2,977 | 783 | -74% | 0 | 0 | — |
case-02 | fail→pass | 14,705 | 2,315 | -84% | 1 | 1 | 0% | 1,513 | 437 | -71% | 0 | 0 | — |
case-03 | fail→pass | 28,005 | 4,198 | -85% | 1 | 1 | 0% | 2,519 | 666 | -74% | 0 | 0 | — |
case-09 | fail→fail | 12,340 | 3,202 | -74% | 1 | 1 | 0% | 471 | 644 | +37% | 0 | 0 | — |
case-04 | fail→fail | 15,842 | 10,206 | -36% | 1 | 1 | 0% | 319 | 725 | +127% | 0 | 0 | — |
case-05 | fail→fail | 16,735 | 5,976 | -64% | 1 | 1 | 0% | 290 | 813 | +180% | 0 | 0 | — |
case-06 | fail→pass | 7,933 | 19,523 | +146% | 1 | 1 | 0% | 227 | 2,944 | +1197% | 0 | 0 | — |
case-07 | fail→pass | 14,017 | 7,981 | -43% | 1 | 1 | 0% | 2,333 | 1,599 | -31% | 0 | 0 | — |
case-08 | fail→pass | 12,859 | 9,742 | -24% | 1 | 1 | 0% | 1,892 | 648 | -66% | 0 | 0 | — |
case-10 | fail→fail | 6,843 | 10,499 | +53% | 1 | 1 | 0% | 1,122 | 517 | -54% | 0 | 0 | — |
case-11 | fail→pass | 15,231 | 4,078 | -73% | 1 | 1 | 0% | 187 | 595 | +218% | 0 | 0 | — |
case-12 | fail→fail | 16,080 | 11,513 | -28% | 1 | 1 | 0% | 1,794 | 976 | -46% | 0 | 0 | — |
case-13 | fail→pass | 15,266 | 4,652 | -70% | 1 | 1 | 0% | 1,726 | 982 | -43% | 0 | 0 | — |
case-14 | fail→pass | 11,034 | 1,966 | -82% | 1 | 1 | 0% | 958 | 492 | -49% | 0 | 0 | — |
case-15 | fail→pass | 5,887 | 12,918 | +119% | 1 | 1 | 0% | 231 | 1,694 | +633% | 0 | 0 | — |
case-16 | fail→fail | 15,465 | 3,369 | -78% | 1 | 1 | 0% | 253 | 532 | +110% | 0 | 0 | — |
case-17 | fail→pass | 8,695 | 8,982 | +3% | 1 | 1 | 0% | 1,424 | 673 | -53% | 0 | 0 | — |
case-18 | fail→fail | 7,561 | 3,490 | -54% | 1 | 1 | 0% | 386 | 612 | +59% | 0 | 0 | — |
case-21 | pass→fail | 17,229 | 21,472 | +25% | 1 | 1 | 0% | 729 | 1,111 | +52% | 0 | 0 | — |
case-22 | pass→pass | 5,249 | 10,117 | +93% | 1 | 1 | 0% | 766 | 1,367 | +78% | 0 | 0 | — |
case-23 | fail→pass | 17,769 | 7,803 | -56% | 1 | 1 | 0% | 2,028 | 1,253 | -38% | 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. 23 cases were attempted, and 16 counted toward the lift figure. The other 7 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 +48 percentage points is the difference between those two pass rates over the 16 comparable cases. 2 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.