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Get Started Free →You are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. You
.claude/skills/dokhacgiakhoa-git-pr-workflows-onboard/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 62% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 88% | 0% |
| case-17 | ✗→✓ | ▲ Improved | 108% | 0% |
| case-18 | ✗→✓ | ▲ Improved | 106% | 0% |
| case-23 | ✗→✓ | ▲ Improved | 106% | 0% |
You are an expert onboarding specialist and knowledge transfer architect with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. Your role is to ensure smooth, comprehensive onboarding that transforms new team members into productive contributors while preserving institutional knowledge.
resources/implementation-playbook.md.This tool orchestrates the complete onboarding experience for new team members, from pre-arrival preparation through their first 90 days. It creates customized onboarding plans based on role, seniority, location, and team structure, ensuring both technical proficiency and cultural integration. The tool emphasizes documentation, mentorship, and measurable milestones to track onboarding success.
You are given the following context: $ARGUMENTS
Parse the arguments to understand:
Before the new hire's first day, ensure complete readiness:
First day focus on warmth, clarity, and essential setup:
Systematic introduction to technical landscape:
Complete configuration for productive development:
Building relationships and understanding team dynamics:
Curated learning paths for role proficiency:
Structured progress monitoring and feedback:
Ensuring onboarding effectiveness and iteration:
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-14 | fail→fail | 19,110 | 18,350 | -4% | 1 | 1 | 0% | 2,662 | 4,913 | +85% | 0 | 0 | — |
case-01 | fail→fail | 42,694 | 39,561 | -7% | 1 | 1 | 0% | 7,246 | 7,564 | +4% | 0 | 0 | — |
case-02 | fail→pass | 22,457 | 23,569 | +5% | 1 | 1 | 0% | 3,882 | 6,276 | +62% | 0 | 0 | — |
case-03 | pass→pass | 15,926 | 15,864 | -0% | 1 | 1 | 0% | 2,129 | 4,467 | +110% | 0 | 0 | — |
case-04 | fail→fail | 25,750 | 18,790 | -27% | 1 | 1 | 0% | 4,127 | 4,872 | +18% | 0 | 0 | — |
case-05 | pass→pass | 23,377 | 28,220 | +21% | 1 | 1 | 0% | 3,643 | 6,323 | +74% | 0 | 0 | — |
case-06 | fail→fail | 13,495 | 15,588 | +16% | 1 | 1 | 0% | 2,334 | 4,067 | +74% | 0 | 0 | — |
case-07 | fail→fail | 21,840 | 29,146 | +33% | 1 | 1 | 0% | 2,989 | 5,780 | +93% | 0 | 0 | — |
case-08 | pass→pass | 17,816 | 16,768 | -6% | 1 | 1 | 0% | 2,527 | 4,292 | +70% | 0 | 0 | — |
case-09 | fail→fail | 15,782 | 16,671 | +6% | 1 | 1 | 0% | 2,611 | 4,687 | +80% | 0 | 0 | — |
case-10 | fail→pass | 15,341 | 14,810 | -3% | 1 | 1 | 0% | 2,331 | 4,371 | +88% | 0 | 0 | — |
case-11 | fail→fail | 18,196 | 16,328 | -10% | 1 | 1 | 0% | 2,463 | 4,148 | +68% | 0 | 0 | — |
case-12 | fail→fail | 11,631 | 10,057 | -14% | 1 | 1 | 0% | 2,096 | 3,743 | +79% | 0 | 0 | — |
case-13 | fail→fail | 18,122 | 20,299 | +12% | 1 | 1 | 0% | 3,165 | 5,769 | +82% | 0 | 0 | — |
case-15 | fail→fail | 17,547 | 19,377 | +10% | 1 | 1 | 0% | 3,066 | 4,929 | +61% | 0 | 0 | — |
case-16 | fail→fail | 18,876 | 24,501 | +30% | 1 | 1 | 0% | 3,221 | 6,016 | +87% | 0 | 0 | — |
case-17 | fail→pass | 10,998 | 10,551 | -4% | 1 | 1 | 0% | 1,765 | 3,674 | +108% | 0 | 0 | — |
case-18 | fail→pass | 14,228 | 18,066 | +27% | 1 | 1 | 0% | 2,296 | 4,732 | +106% | 0 | 0 | — |
case-19 | pass→pass | 17,145 | 19,734 | +15% | 1 | 1 | 0% | 2,569 | 4,775 | +86% | 0 | 0 | — |
case-20 | pass→pass | 21,677 | 19,425 | -10% | 1 | 1 | 0% | 2,547 | 4,995 | +96% | 0 | 0 | — |
case-21 | fail→fail | 20,837 | 26,912 | +29% | 1 | 1 | 0% | 4,371 | 6,284 | +44% | 0 | 0 | — |
case-22 | pass→pass | 23,232 | 20,137 | -13% | 1 | 1 | 0% | 2,995 | 5,111 | +71% | 0 | 0 | — |
case-23 | fail→pass | 15,108 | 19,397 | +28% | 1 | 1 | 0% | 2,426 | 4,999 | +106% | 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. The headline lift of +22 percentage points is the difference between those two pass rates over the 23 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.