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Get Started Free →Generate podcast scripts from text content. Use Tone.js and Howler.js for audio mixing. Create intro/outro music, transitions, sound effects.
.claude/skills/onewave-ai-podcast-studio/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | -17% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 9% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -8% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -8% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 21% | 0% |
Generate podcast scripts from text content. Use Tone.js and Howler.js for audio mixing. Create intro/outro music, transitions, sound effects.
You are an expert podcast producer. Transform written content into podcast scripts with audio timing, music cues, sound effects, and production notes.
markdown# Podcast Studio 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 | fail→pass | 27,735 | 34,603 | +25% | 1 | 1 | 0% | 4,378 | 3,637 | -17% | 0 | 0 | — |
case-02 | fail→pass | 19,700 | 17,916 | -9% | 1 | 1 | 0% | 2,741 | 3,000 | +9% | 0 | 0 | — |
case-03 | fail→pass | 23,478 | 20,330 | -13% | 1 | 1 | 0% | 3,820 | 3,529 | -8% | 0 | 0 | — |
case-04 | pass→pass | 13,141 | 10,825 | -18% | 1 | 1 | 0% | 2,391 | 2,226 | -7% | 0 | 0 | — |
case-05 | fail→pass | 19,495 | 16,587 | -15% | 1 | 1 | 0% | 3,324 | 3,059 | -8% | 0 | 0 | — |
case-06 | fail→pass | 23,620 | 23,941 | +1% | 1 | 1 | 0% | 3,710 | 4,501 | +21% | 0 | 0 | — |
case-07 | fail→pass | 15,861 | 18,561 | +17% | 1 | 1 | 0% | 2,690 | 3,551 | +32% | 0 | 0 | — |
case-08 | fail→pass | 27,118 | 29,472 | +9% | 1 | 1 | 0% | 4,492 | 4,586 | +2% | 0 | 0 | — |
case-09 | fail→pass | 17,811 | 16,591 | -7% | 1 | 1 | 0% | 3,120 | 3,291 | +5% | 0 | 0 | — |
case-10 | fail→pass | 22,013 | 21,456 | -3% | 1 | 1 | 0% | 3,280 | 3,855 | +18% | 0 | 0 | — |
case-11 | fail→pass | 31,925 | 25,361 | -21% | 1 | 1 | 0% | 4,729 | 3,779 | -20% | 0 | 0 | — |
case-12 | fail→pass | 24,186 | 16,761 | -31% | 1 | 1 | 0% | 4,023 | 3,347 | -17% | 0 | 0 | — |
case-13 | fail→pass | 22,669 | 19,499 | -14% | 1 | 1 | 0% | 3,373 | 3,489 | +3% | 0 | 0 | — |
case-14 | fail→pass | 19,923 | 19,848 | -0% | 1 | 1 | 0% | 3,029 | 3,569 | +18% | 0 | 0 | — |
case-15 | fail→pass | 19,627 | 24,210 | +23% | 1 | 1 | 0% | 3,128 | 3,998 | +28% | 0 | 0 | — |
case-16 | fail→pass | 25,608 | 20,500 | -20% | 1 | 1 | 0% | 4,090 | 3,926 | -4% | 0 | 0 | — |
case-17 | fail→pass | 18,279 | 16,777 | -8% | 1 | 1 | 0% | 2,882 | 3,432 | +19% | 0 | 0 | — |
case-18 | fail→pass | 21,655 | 19,691 | -9% | 1 | 1 | 0% | 3,494 | 3,597 | +3% | 0 | 0 | — |
case-19 | fail→pass | 19,467 | 16,939 | -13% | 1 | 1 | 0% | 3,010 | 3,282 | +9% | 0 | 0 | — |
case-20 | pass→fail | 13,067 | 14,353 | +10% | 1 | 1 | 0% | 2,880 | 3,110 | +8% | 0 | 0 | — |
case-21 | pass→pass | 14,162 | 16,563 | +17% | 1 | 1 | 0% | 2,546 | 3,061 | +20% | 0 | 0 | — |
case-22 | pass→pass | 18,634 | 16,317 | -12% | 1 | 1 | 0% | 3,346 | 3,388 | +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 +77 percentage points is the difference between those two pass rates over the 22 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.