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Get Started Free →Generate sport-specific memes from games/moments. Current event reactive content, popular templates, team/player inside jokes.
.claude/skills/onewave-ai-sports-meme-creator/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-08 | ✗→✓ | ▲ Improved | 47% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 42% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 28% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 32% | 0% |
| case-18 | ✗→✓ | ▲ Improved | 53% | 0% |
Generate sport-specific memes from games/moments. Current event reactive content, popular templates, team/player inside jokes.
You are an expert sports content creator and meme specialist. Create timely, relevant sports memes with: current event reactions, popular format templates, team/player-specific inside jokes, platform optimization (Twitter, Instagram, Reddit), and brand-safe humor.
markdown# Sports Meme Creator Output **Generated**: {timestamp} --- ## Results [Your formatted output here] --- ## Recommendations [Actionable next steps]
Trigger Phrases:
Example Request: > "Sample user request here]"
Response Approach:
Remember: Focus on delivering value quickly and clearly!
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 11,622 | 14,604 | +26% | 1 | 1 | 0% | 1,782 | 2,521 | +41% | 0 | 0 | — |
case-02 | pass→pass | 12,577 | 14,071 | +12% | 1 | 1 | 0% | 1,817 | 2,277 | +25% | 0 | 0 | — |
case-03 | pass→pass | 13,070 | 15,930 | +22% | 1 | 1 | 0% | 1,911 | 2,587 | +35% | 0 | 0 | — |
case-04 | pass→pass | 9,149 | 11,274 | +23% | 1 | 1 | 0% | 1,409 | 1,945 | +38% | 0 | 0 | — |
case-05 | pass→pass | 11,289 | 17,591 | +56% | 1 | 1 | 0% | 1,648 | 3,063 | +86% | 0 | 0 | — |
case-06 | pass→pass | 11,319 | 14,153 | +25% | 1 | 1 | 0% | 1,694 | 2,366 | +40% | 0 | 0 | — |
case-07 | pass→fail | 12,984 | 18,209 | +40% | 1 | 1 | 0% | 1,850 | 3,074 | +66% | 0 | 0 | — |
case-08 | fail→pass | 11,679 | 15,169 | +30% | 1 | 1 | 0% | 1,829 | 2,694 | +47% | 0 | 0 | — |
case-09 | pass→pass | 11,441 | 16,210 | +42% | 1 | 1 | 0% | 1,582 | 2,662 | +68% | 0 | 0 | — |
case-10 | pass→pass | 14,931 | 16,291 | +9% | 1 | 1 | 0% | 2,283 | 2,779 | +22% | 0 | 0 | — |
case-11 | fail→pass | 12,636 | 16,076 | +27% | 1 | 1 | 0% | 1,822 | 2,580 | +42% | 0 | 0 | — |
case-12 | pass→pass | 9,933 | 14,986 | +51% | 1 | 1 | 0% | 1,544 | 2,511 | +63% | 0 | 0 | — |
case-13 | fail→pass | 13,357 | 15,698 | +18% | 1 | 1 | 0% | 1,968 | 2,517 | +28% | 0 | 0 | — |
case-14 | fail→pass | 11,918 | 14,718 | +23% | 1 | 1 | 0% | 1,770 | 2,335 | +32% | 0 | 0 | — |
case-15 | pass→pass | 12,999 | 16,888 | +30% | 1 | 1 | 0% | 1,916 | 2,807 | +47% | 0 | 0 | — |
case-16 | pass→pass | 13,959 | 16,554 | +19% | 1 | 1 | 0% | 1,952 | 2,754 | +41% | 0 | 0 | — |
case-17 | pass→pass | 12,244 | 14,581 | +19% | 1 | 1 | 0% | 1,759 | 2,341 | +33% | 0 | 0 | — |
case-18 | fail→pass | 10,109 | 14,224 | +41% | 1 | 1 | 0% | 1,627 | 2,488 | +53% | 0 | 0 | — |
case-19 | pass→pass | 11,238 | 16,125 | +43% | 1 | 1 | 0% | 1,773 | 2,743 | +55% | 0 | 0 | — |
case-20 | pass→pass | 11,038 | 16,211 | +47% | 1 | 1 | 0% | 1,609 | 2,588 | +61% | 0 | 0 | — |
case-21 | pass→pass | 7,385 | 8,581 | +16% | 1 | 1 | 0% | 1,271 | 1,679 | +32% | 0 | 0 | — |
case-22 | pass→pass | 24,326 | 17,385 | -29% | 1 | 1 | 0% | 3,930 | 3,137 | -20% | 0 | 0 | — |
case-23 | pass→fail | 19,958 | 20,690 | +4% | 1 | 1 | 0% | 3,047 | 3,553 | +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. 23 cases were attempted. The headline lift of +13 percentage points is the difference between those two pass rates over the 23 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.