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Get Started Free →Create a structured 30/60/90-day onboarding plan for any new hire. Use when asked to write an onboarding plan, new hire plan, 30-60-90 day plan, or first 90 days roadmap. Produces a week-by-week plan with milestones, meetings, learning goals, and success criteria.
.claude/skills/mohitagw15856-onboarding-plan/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | -9% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 4% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 12% | 0% |
| case-16 | ✗→✓ | ▲ Improved | 30% | 0% |
| case-03 | ✓→✓ | = Same ✓ | -8% | 0% |
Creates a complete, structured onboarding plan tailored to a specific role — covering the first 90 days with clear milestones and success criteria.
Start date: Date] | Manager: Name] | Buddy: Name]
Theme: Listen, learn, do not act yet.
| Day | Focus | Key activities | |---|---|---| | Day 1 | IT setup, team intro | 1:1 with manager, team lunch | | Day 2 | Product deep dive | Demo, key docs to read | | Day 3 | Process and tools | Shadow key workflows | | Day 4 | Stakeholder intros | 3-4 intro 1:1s | | Day 5 | Week 1 debrief | Check-in, questions logged |
Week 1 milestone: Can describe what the company does, the team role, and their top 3 priorities.
Learning goals:
30-day milestone: All stakeholder 1:1s complete. 2-3 early observations shared with manager.
Goals:
60-day milestone: Delivered one tangible output. Manager says "this person is contributing."
Goals:
90-day milestone: Ready for formal review. Clear 6-month plan in place.
Manager: Meeting expectations? What to double down on? What to develop? New hire: Have the clarity, tools, support needed? What surprised you? What would you change about onboarding?
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-03 | pass→pass | 27,844 | 20,464 | -27% | 1 | 1 | 0% | 5,274 | 4,877 | -8% | 0 | 0 | — |
case-04 | pass→pass | 11,512 | 9,664 | -16% | 1 | 1 | 0% | 2,068 | 2,651 | +28% | 0 | 0 | — |
case-01 | fail→pass | 26,715 | 17,525 | -34% | 1 | 1 | 0% | 5,013 | 4,566 | -9% | 0 | 0 | — |
case-02 | fail→pass | 18,435 | 14,530 | -21% | 1 | 1 | 0% | 3,503 | 3,629 | +4% | 0 | 0 | — |
case-05 | pass→pass | 13,359 | 12,136 | -9% | 1 | 1 | 0% | 2,447 | 3,080 | +26% | 0 | 0 | — |
case-06 | pass→pass | 15,558 | 16,458 | +6% | 1 | 1 | 0% | 2,788 | 3,748 | +34% | 0 | 0 | — |
case-07 | pass→pass | 15,344 | 14,061 | -8% | 1 | 1 | 0% | 2,646 | 3,433 | +30% | 0 | 0 | — |
case-08 | pass→pass | 13,295 | 8,952 | -33% | 1 | 1 | 0% | 2,118 | 2,480 | +17% | 0 | 0 | — |
case-09 | pass→pass | 11,305 | 8,792 | -22% | 1 | 1 | 0% | 2,011 | 2,435 | +21% | 0 | 0 | — |
case-10 | fail→fail | 11,788 | 11,231 | -5% | 1 | 1 | 0% | 1,886 | 2,760 | +46% | 0 | 0 | — |
case-11 | pass→pass | 13,882 | 10,341 | -26% | 1 | 1 | 0% | 2,235 | 2,431 | +9% | 0 | 0 | — |
case-12 | pass→pass | 12,438 | 8,141 | -35% | 1 | 1 | 0% | 2,047 | 2,315 | +13% | 0 | 0 | — |
case-13 | pass→pass | 15,131 | 13,149 | -13% | 1 | 1 | 0% | 2,666 | 3,399 | +27% | 0 | 0 | — |
case-14 | fail→pass | 14,376 | 11,856 | -18% | 1 | 1 | 0% | 2,652 | 2,963 | +12% | 0 | 0 | — |
case-15 | pass→pass | 7,482 | 7,053 | -6% | 1 | 1 | 0% | 1,322 | 2,085 | +58% | 0 | 0 | — |
case-16 | fail→pass | 12,613 | 9,569 | -24% | 1 | 1 | 0% | 2,033 | 2,647 | +30% | 0 | 0 | — |
case-17 | pass→pass | 17,757 | 21,473 | +21% | 1 | 1 | 0% | 3,165 | 4,607 | +46% | 0 | 0 | — |
case-18 | pass→pass | 11,224 | 7,573 | -33% | 1 | 1 | 0% | 1,773 | 2,217 | +25% | 0 | 0 | — |
case-19 | pass→pass | 13,696 | 11,676 | -15% | 1 | 1 | 0% | 2,136 | 2,903 | +36% | 0 | 0 | — |
case-20 | pass→pass | 17,722 | 16,031 | -10% | 1 | 1 | 0% | 2,945 | 3,480 | +18% | 0 | 0 | — |
case-21 | pass→pass | 9,786 | 6,052 | -38% | 1 | 1 | 0% | 1,609 | 1,877 | +17% | 0 | 0 | — |
case-22 | pass→pass | 13,862 | 7,413 | -47% | 1 | 1 | 0% | 2,059 | 2,071 | +1% | 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 +18 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.