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Get Started Free →Write engaging, high-retention YouTube video scripts with visual and audio cues. Use when asked to write a YouTube script, design a video outline, draft a video hook, or structure a video narrative. Produces a polished script with multiple hook options, step-by-step video body, and clear visual/audio directions.
.claude/skills/mohitagw15856-youtube-script-writer/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 24% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 37% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 150% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 146% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 108% | 0% |
This skill helps creators write highly engaging, structured, and visually-dynamic scripts optimized for YouTube's retention algorithm. It converts raw ideas, articles, or transcripts into a ready-to-shoot script with clear visual cues, pacing indicators, and audio directions.
Ask the user for these if not provided:
Every YouTube script must follow this structure to prevent early drop-off:
Target Duration: Duration] | Audience: Target Audience] | Tone: Tone]
| Time / Chapter | Video Cues (B-Roll, Overlays, Camera Angles) | Audio Cues (Spoken Script, Sound Effects, Music) | | :--- | :--- | :--- | | 0:30 - 1:00<br>The Re-Hook | Show on-screen graphics displaying server costs. Zoom in slightly on the host. | "Here is the reality: database optimization sounds incredibly complex. But most tutorials make you learn SQL queries you will never use. Today, we are keeping it purely practical." | | 1:00 - 3:30<br>Chapter 1: Chapter Name] | Visual Cue: Transition to screencast. Highlight lines 12-15 in the config file. Add cursor highlight.] | "Spoken Dialogue]: First, let's open up the default configuration file. Notice this specific pool size limit... [Sound Effect: soft click]" | | 3:30 - 6:00<br>Chapter 2: Chapter Name] | Visual Cue: Cut back to host. Push-in zoom on host's face to emphasize the point.] | "Spoken Dialogue]: This brings us to the next step. If you set this value too high, your server will freeze. If it's too low, users will wait forever. Here is how to find the sweet spot..." | | 6:00 - 8:30<br>Chapter 3: Chapter Name] | Visual Cue: B-roll of server monitoring dashboard showing a flatline turning into a healthy wave.] | "Spoken Dialogue]: Once we applied this setting, look at what happened to the response times. They dropped from 800 milliseconds down to 45." | | 8:30 - 9:00<br>The Payoff | Show split screen: Before config vs After config load times. | "So, by changing just that one variable, we solved the crash problem completely without spending a single dollar on hardware upgrades." | | 9:00 - 9:30<br>Seamless CTA | Visual Cue: On-screen card pops up pointing to a related video. Text overlay: 'Watch next: Scaling PostgreSQL Databases.'] | "Spoken Dialogue]: Now that your server is configured correctly, your next bottleneck is going to be database indexing. Click on this video right here where I break down indexing in under 5 minutes..." |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 41,287 | 32,663 | -21% | 1 | 1 | 0% | 5,433 | 6,761 | +24% | 0 | 0 | — |
case-02 | fail→pass | 32,877 | 28,104 | -15% | 1 | 1 | 0% | 4,480 | 6,142 | +37% | 0 | 0 | — |
case-03 | fail→fail | 30,007 | 30,378 | +1% | 1 | 1 | 0% | 5,508 | 7,524 | +37% | 0 | 0 | — |
case-04 | pass→pass | 17,452 | 15,658 | -10% | 1 | 1 | 0% | 1,984 | 3,685 | +86% | 0 | 0 | — |
case-05 | pass→pass | 16,336 | 23,401 | +43% | 1 | 1 | 0% | 1,575 | 4,640 | +195% | 0 | 0 | — |
case-06 | pass→fail | 19,931 | 28,262 | +42% | 1 | 1 | 0% | 2,467 | 5,565 | +126% | 0 | 0 | — |
case-13 | fail→pass | 20,553 | 16,561 | -19% | 1 | 1 | 0% | 1,999 | 4,988 | +150% | 0 | 0 | — |
case-07 | pass→pass | 20,432 | 48,860 | +139% | 1 | 1 | 0% | 2,958 | 5,843 | +98% | 0 | 0 | — |
case-08 | pass→pass | 29,466 | 24,140 | -18% | 1 | 1 | 0% | 4,552 | 6,346 | +39% | 0 | 0 | — |
case-09 | pass→pass | 26,133 | 23,077 | -12% | 1 | 1 | 0% | 2,989 | 4,785 | +60% | 0 | 0 | — |
case-10 | pass→pass | 30,195 | 34,659 | +15% | 1 | 1 | 0% | 3,964 | 6,962 | +76% | 0 | 0 | — |
case-11 | pass→pass | 20,969 | 20,517 | -2% | 1 | 1 | 0% | 2,315 | 4,513 | +95% | 0 | 0 | — |
case-12 | fail→pass | 23,069 | 13,518 | -41% | 1 | 1 | 0% | 1,745 | 4,289 | +146% | 0 | 0 | — |
case-14 | fail→pass | 22,754 | 27,994 | +23% | 1 | 1 | 0% | 2,821 | 5,863 | +108% | 0 | 0 | — |
case-15 | pass→pass | 19,422 | 10,776 | -45% | 1 | 1 | 0% | 1,914 | 3,871 | +102% | 0 | 0 | — |
case-16 | pass→pass | 15,797 | 15,438 | -2% | 1 | 1 | 0% | 1,332 | 3,960 | +197% | 0 | 0 | — |
case-17 | pass→pass | 22,586 | 38,985 | +73% | 1 | 1 | 0% | 3,499 | 6,804 | +94% | 0 | 0 | — |
case-18 | pass→pass | 20,238 | 23,419 | +16% | 1 | 1 | 0% | 2,278 | 5,236 | +130% | 0 | 0 | — |
case-19 | pass→pass | 22,243 | 12,328 | -45% | 1 | 1 | 0% | 2,225 | 4,627 | +108% | 0 | 0 | — |
case-20 | pass→pass | 34,912 | 9,401 | -73% | 1 | 1 | 0% | 2,210 | 3,566 | +61% | 0 | 0 | — |
case-21 | pass→pass | 15,568 | 19,830 | +27% | 1 | 1 | 0% | 2,383 | 4,523 | +90% | 0 | 0 | — |
case-22 | pass→pass | 20,360 | 23,996 | +18% | 1 | 1 | 0% | 2,441 | 5,181 | +112% | 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. 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.