feat: add video skill for AI video production
New skill covering programmatic video (Remotion, Hyperframes), AI video generation (Veo, Runway, Kling), AI avatars (HeyGen, Synthesia), and editing/repurposing workflows. Includes AI video prompting reference. New tool integrations: HeyGen (MCP-enabled), Hyperframes (open source). Updated tools registry with Video category expansion. Total skills: 39 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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# AI Video Prompting Guide
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How to write effective prompts for AI video generation models (Veo, Runway, Kling, Pika).
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---
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## Prompt Structure
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A strong video prompt follows this formula:
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```
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[Subject] + [Action] + [Camera movement] + [Visual style] + [Lighting/mood] + [Technical specs]
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```
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### Example Prompts by Use Case
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**Product hero shot:**
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```
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A sleek laptop on a minimal white desk, screen glowing with a dashboard UI,
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camera slowly orbits 180 degrees around the desk,
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soft volumetric lighting from the left, shallow depth of field,
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cinematic commercial aesthetic, 4K
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```
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**Lifestyle B-roll:**
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```
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A woman in a modern co-working space smiling while looking at her phone,
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natural window light, candid documentary feel,
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camera handheld with subtle movement, warm color grading
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```
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**Abstract/brand:**
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```
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Flowing liquid gold particles forming the shape of a network graph,
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dark background, particles catch light as they move,
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slow-motion macro photography style, dramatic rim lighting
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```
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**SaaS explainer scene:**
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```
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An overhead shot of a team around a conference table pointing at charts,
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camera slowly pushes in, bright modern office,
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clean corporate style, even lighting, 1080p
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```
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---
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## Camera Movement Vocabulary
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Use these terms — video models understand them:
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| Term | Effect |
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|------|--------|
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| **Static** | Locked camera, no movement |
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| **Pan left/right** | Camera rotates horizontally |
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| **Tilt up/down** | Camera rotates vertically |
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| **Dolly in/out** | Camera moves toward/away from subject |
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| **Orbit** | Camera circles around subject |
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| **Tracking shot** | Camera follows moving subject |
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| **Crane/aerial** | Camera rises or descends |
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| **Handheld** | Subtle shake, documentary feel |
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| **Zoom** | Lens zoom (different from dolly) |
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| **Slow push** | Gradual dolly in — builds tension/focus |
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---
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## Style Keywords
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### Cinematic
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- "cinematic color grading"
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- "anamorphic lens flare"
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- "shallow depth of field"
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- "film grain"
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- "35mm film"
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### Commercial/Corporate
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- "clean commercial lighting"
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- "bright and airy"
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- "professional corporate aesthetic"
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- "even, diffused lighting"
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### Documentary
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- "handheld documentary style"
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- "natural lighting"
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- "candid, unposed"
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- "observational camera"
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### Social/Trendy
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- "vertical 9:16"
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- "fast-paced cuts"
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- "bold text overlays"
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- "high contrast, saturated colors"
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---
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## Model-Specific Tips
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### Veo (Google)
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- Excels at photorealism and complex scenes
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- Supports audio generation synced to video
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- Best with detailed, descriptive prompts
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- Specify "4K" or "high resolution" for max quality
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- Can handle multiple subjects and scene transitions
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### Runway Gen-4
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- Strong motion control — specify camera movements precisely
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- Best temporal consistency (subjects stay consistent across frames)
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- Use motion brush for specific area animation
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- Image-to-video works well — provide a reference frame
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- Keep prompts under 100 words for best results
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### Kling
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- Can generate up to 2 minutes (much longer than others)
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- Good for longer narrative sequences
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- More affordable for bulk generation
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- Quality drops slightly at longer durations
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- Best with simpler scenes and fewer subjects
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### Pika
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- Fastest generation time (under 2 minutes)
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- Good for quick iterations and experimentation
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- Effects mode adds motion to still images
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- Best for short clips (5-15 seconds)
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- Less control over camera movement
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---
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## Common Prompt Mistakes
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| Mistake | Why It Fails | Fix |
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|---------|-------------|-----|
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| "A person using our app" | Too vague, no visual detail | Describe the person, setting, lighting, camera |
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| Including text/logos | AI can't render readable text | Add text in post via Hyperframes/CapCut |
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| "Make it viral" | Not a visual instruction | Describe the visual style you want |
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| Extremely long prompts (200+ words) | Models lose focus | Keep to 50-100 words, be specific |
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| No camera direction | Random/static camera | Always specify movement or "static" |
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| "Realistic" alone | Not specific enough | "Photorealistic, natural lighting, shot on RED camera" |
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---
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## Prompting Workflow
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1. **Reference first** — find a real video that looks like what you want
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2. **Describe it** — break down: subject, action, camera, style, mood
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3. **Generate 3-4 variations** — same concept, different angles or styles
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4. **Iterate on the best** — refine the prompt based on results
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5. **Composite** — combine AI footage with programmatic text/overlays
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---
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## Aspect Ratios
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Always specify in your prompt or generation settings:
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| Platform | Ratio | Resolution |
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|----------|-------|-----------|
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| YouTube | 16:9 | 1920x1080 or 3840x2160 |
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| TikTok/Reels/Shorts | 9:16 | 1080x1920 |
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| Instagram Feed | 1:1 or 4:5 | 1080x1080 or 1080x1350 |
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| Website hero | 16:9 | 1920x1080 |
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| LinkedIn | 16:9 or 1:1 | 1920x1080 |
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---
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## Cost Optimization
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- **Iterate at low resolution** — upscale only the final version
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- **Use Kling for drafts** — cheapest per second, switch to Veo/Runway for finals
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- **Image-to-video** — providing a reference frame saves generation credits and gives better results
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- **Batch similar prompts** — models often offer volume discounts
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- **Cache and reuse** — B-roll clips can be reused across multiple videos
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