| name | AI Video Generation |
| slug | video-generation |
| version | 1.0.1 |
| homepage | https://clawic.com/skills/video-generation |
| description | Create AI videos with Sora 2, Veo 3, Seedance, Runway, and modern APIs using reliable prompt and rendering workflows. |
| changelog | Added current model routing and practical API playbooks for modern AI video generation workflows. |
| metadata | {"clawdbot":{"emoji":"🎬","requires":{"bins":[],"env.optional":["OPENAI_API_KEY","GOOGLE_CLOUD_PROJECT","RUNWAY_API_KEY","LUMA_API_KEY","FAL_KEY","REPLICATE_API_TOKEN","VIDU_API_KEY","TENCENTCLOUD_SECRET_ID","TENCENTCLOUD_SECRET_KEY"],"config":["~/video-generation/"]},"os":["linux","darwin","win32"]}} |
Setup
On first use, read setup.md.
When to Use
User needs to generate, edit, or scale AI videos with current models and APIs.
Use this skill to choose the right current model stack, write stronger motion prompts, and run reliable async video pipelines.
Architecture
User preferences persist in ~/video-generation/. See memory-template.md for setup.
~/video-generation/
├── memory.md # Preferred providers, model routing, reusable shot recipes
└── history.md # Optional run log for jobs, costs, and outputs
Quick Reference
| Topic | File |
|---|
| Initial setup | setup.md |
| Memory template | memory-template.md |
| Migration guide | migration.md |
| Model snapshot | benchmarks.md |
| Async API patterns | api-patterns.md |
| OpenAI Sora 2 | openai-sora.md |
| Google Veo 3.x | google-veo.md |
| Runway Gen-4 | runway.md |
| Luma Ray | luma.md |
| ByteDance Seedance | seedance.md |
| Kling | kling.md |
| Vidu | vidu.md |
| Pika via Fal | pika.md |
| MiniMax Hailuo | minimax-hailuo.md |
| Replicate routing | replicate.md |
| Open-source local models | open-source-video.md |
| Distribution playbook | promotion.md |
Core Rules
1. Resolve model aliases before API calls
Map community names to real API model IDs first.
Examples: sora-2, sora-2-pro, veo-3.0-generate-001, gen4_turbo, gen4_aleph.
2. Route by task, not brand preference
| Task | First choice | Backup |
|---|
| Premium prompt-only generation | sora-2-pro | veo-3.1-generate-001 |
| Fast drafts at lower cost | veo-3.1-fast-generate-001 | gen4_turbo |
| Long-form cinematic shots | gen4_aleph | ray-2 |
| Strong image-to-video control | veo-3.0-generate-001 | gen4_turbo |
| Multi-shot narrative consistency | Seedance family | hailuo-2.3 |
| Local privacy-first workflows | Wan2.2 / HunyuanVideo | CogVideoX |
3. Draft cheap, finish expensive
Start with low duration and lower tier, validate motion and composition, then rerender winners with premium models or longer durations.
4. Design prompts as shot instructions
Always include subject, action, camera motion, lens style, lighting, and scene timing.
For references and start/end frames, keep continuity constraints explicit.
5. Assume async and failure by default
Every provider pipeline must support queued jobs, polling/backoff, retries, cancellation, and signed-URL download before expiry.
6. Keep a fallback chain
If the preferred model is blocked or overloaded:
- same provider lower tier, 2) equivalent cross-provider model, 3) open model/local run.
Common Traps
- Using nickname-only model labels in code -> avoidable API failures
- Pushing 8-10 second generations before validating a 3-5 second draft -> wasted credits
- Cropping after generation instead of generating native ratio -> lower composition quality
- Ignoring prompt enhancement toggles -> tone drift across providers
- Reusing expired output URLs -> broken export workflows
- Treating all providers as synchronous -> stalled jobs and bad timeout handling
External Endpoints
| Provider | Endpoint | Data Sent | Purpose |
|---|
| OpenAI | api.openai.com | Prompt text, optional input images/video refs | Sora 2 video generation |
| Google Vertex AI | aiplatform.googleapis.com | Prompt text, optional image input, generation params | Veo 3.x generation |
| Runway | api.dev.runwayml.com | Prompt text, optional input media | Gen-4 generation and image-to-video |
| Luma | api.lumalabs.ai | Prompt text, optional keyframes/start-end images | Ray generation |
| Fal | queue.fal.run | Prompt text, optional input media | Pika and Hailuo hosted APIs |
| Replicate | api.replicate.com | Prompt text, optional input media | Multi-model routing and experimentation |
| Vidu | api.vidu.com | Prompt text, optional start/end/reference images | Vidu text/image/reference video APIs |
| Tencent MPS | mps.tencentcloudapi.com | Prompt text and generation parameters | Unified AIGC video task APIs |
No other data is sent externally.
Security & Privacy
Data that leaves your machine:
- Prompt text
- Optional reference images or clips
- Requested rendering parameters (duration, resolution, aspect ratio)
Data that stays local:
- Provider preferences in
~/video-generation/memory.md
- Optional local job history in
~/video-generation/history.md
This skill does NOT:
- Store API keys in project files
- Upload media outside requested provider calls
- Delete local assets unless the user asks
Trust
This skill can send prompts and media references to third-party AI providers.
Only install if you trust those providers with your content.
Related Skills
Install with clawhub install <slug> if user confirms:
image-generation - Build still concepts and keyframes before video generationimage-edit - Prepare clean references, masks, and style framesvideo-edit - Post-process generated clips and final exportsvideo-captions - Add subtitle and text overlay workflowsffmpeg - Compose, transcode, and package production outputs
Feedback
- If useful:
clawhub star video-generation
- Stay updated:
clawhub sync
