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Get Started Free →Build a fantasy-sports draft strategy and weekly plan that fits your league's exact settings — so you draft with a plan instead of vibes. Use when asked to help with my fantasy draft, who should I draft, fantasy league strategy, or set my lineup this week. Produces a settings-aware draft approach (positional strategy by round, tiers over rankings, targets and values), a snake/auction plan for your slot, weekly start/sit and waiver logic, and honest reminders that player values shift — verify cur
.claude/skills/mohitagw15856-fantasy-league-drafter/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-15 | ✗→✓ | ▲ Improved | 21% | 0% |
| case-02 | ✓→✗ | ▼ Worse | -17% | 0% |
| case-01 | ✓→✓ | = Same ✓ | -30% | 0% |
| case-03 | ✓→✓ | = Same ✓ | -28% | 0% |
| case-04 | ✓→✓ | = Same ✓ | -26% | 0% |
Fantasy leagues are won by people who draft with a strategy tuned to their league's scoring and roster rules — not by whoever memorized a generic ranking. This builds a plan around your exact settings, gives you a round-by-round approach and target tiers, and sets up the weekly habits (start/sit, waivers) that actually decide the season — while reminding you to check current injury/role news, which changes constantly.
Ask for these if not provided:
Draft strategy: positional priority by round / auction budget split]. Tiers to watch: position — where the drop-off is]. Targets & traps: types to target] · common value] · overpriced trap].
Weekly playbook
> Player values, injuries, and roles change constantly — verify current status before the draft and each week.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 63,614 | 34,541 | -46% | 1 | 1 | 0% | 7,411 | 5,157 | -30% | 0 | 0 | — |
case-02 | pass→fail | 34,540 | 42,897 | +24% | 1 | 1 | 0% | 5,059 | 4,204 | -17% | 0 | 0 | — |
case-03 | pass→pass | 49,501 | 30,032 | -39% | 1 | 1 | 0% | 6,212 | 4,471 | -28% | 0 | 0 | — |
case-04 | pass→pass | 22,333 | 12,011 | -46% | 1 | 1 | 0% | 2,507 | 1,852 | -26% | 0 | 0 | — |
case-09 | pass→pass | 28,300 | 22,452 | -21% | 1 | 1 | 0% | 3,051 | 3,187 | +4% | 0 | 0 | — |
case-05 | fail→fail | 21,675 | 26,970 | +24% | 1 | 1 | 0% | 2,813 | 3,751 | +33% | 0 | 0 | — |
case-06 | pass→pass | 19,048 | 19,159 | +1% | 1 | 1 | 0% | 2,799 | 3,188 | +14% | 0 | 0 | — |
case-07 | pass→pass | 25,348 | 13,446 | -47% | 1 | 1 | 0% | 3,320 | 2,885 | -13% | 0 | 0 | — |
case-08 | pass→pass | 25,368 | 23,458 | -8% | 1 | 1 | 0% | 2,771 | 3,592 | +30% | 0 | 0 | — |
case-10 | pass→pass | 21,418 | 13,701 | -36% | 1 | 1 | 0% | 2,190 | 2,862 | +31% | 0 | 0 | — |
case-11 | pass→pass | 23,124 | 20,959 | -9% | 1 | 1 | 0% | 2,747 | 3,194 | +16% | 0 | 0 | — |
case-12 | pass→pass | 24,031 | 22,833 | -5% | 1 | 1 | 0% | 2,558 | 2,961 | +16% | 0 | 0 | — |
case-13 | pass→pass | 29,176 | 16,429 | -44% | 1 | 1 | 0% | 2,842 | 3,109 | +9% | 0 | 0 | — |
case-14 | pass→pass | 22,252 | 28,345 | +27% | 1 | 1 | 0% | 2,148 | 3,129 | +46% | 0 | 0 | — |
case-15 | fail→pass | 30,800 | 26,202 | -15% | 1 | 1 | 0% | 3,294 | 3,972 | +21% | 0 | 0 | — |
case-16 | fail→fail | 21,192 | 17,327 | -18% | 1 | 1 | 0% | 2,367 | 3,464 | +46% | 0 | 0 | — |
case-17 | pass→pass | 30,004 | 24,662 | -18% | 1 | 1 | 0% | 2,918 | 3,283 | +13% | 0 | 0 | — |
case-18 | pass→pass | 13,460 | 16,001 | +19% | 1 | 1 | 0% | 1,384 | 2,323 | +68% | 0 | 0 | — |
case-19 | pass→pass | 27,410 | 121,448 | +343% | 1 | 1 | 0% | 3,046 | 3,566 | +17% | 0 | 0 | — |
case-20 | pass→pass | 18,737 | 20,337 | +9% | 1 | 1 | 0% | 2,403 | 3,043 | +27% | 0 | 0 | — |
case-21 | pass→pass | 26,836 | 20,449 | -24% | 1 | 1 | 0% | 2,231 | 3,179 | +42% | 0 | 0 | — |
case-22 | pass→pass | 25,962 | 21,645 | -17% | 1 | 1 | 0% | 2,680 | 3,238 | +21% | 0 | 0 | — |
case-23 | pass→pass | 21,833 | 23,151 | +6% | 1 | 1 | 0% | 3,109 | 3,861 | +24% | 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 0 percentage points is the difference between those two pass rates over the 23 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.