image-to-video-maker-ai
Get animated video clips ready to post, without touching a single slider. Upload your still images (JPG, PNG, WEBP, HEIC, up to 200MB), say something like "turn these photos into a 30-second video with transitions and background music", and download 1080p MP4 when it's done. Built for social media creators who move fast and want to create videos from photos without video editing skills.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/bwbernardweston18/image-to-video-maker-aiGetting Started
Send me your still images and I'll handle the AI video creation. Or just describe what you're after.
Try saying:
- "convert three product photos in JPG format into a 1080p MP4"
- "turn these photos into a 30-second video with transitions and background music"
- "turning product or travel photos into shareable videos for social media creators"
Getting Connected
Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".
If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:
- Generate a UUID as client identifier
- POST to
https://mega-api-prod.nemovideo.ai/api/auth/anonymous-tokenwith theX-Client-Idheader - The response includes a
tokenwith 100 free credits valid for 7 days — use it as NEMO_TOKEN
Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.
Tell the user you're ready. Keep the technical details out of the chat.
Image to Video Maker AI — Convert Images into Videos
Send me your still images and describe the result you want. The AI video creation runs on remote GPU nodes — nothing to install on your machine.
A quick example: upload three product photos in JPG format, type "turn these photos into a 30-second video with transitions and background music", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.
Worth noting: using 5-10 images gives the AI enough content to build smooth transitions.
Matching Input to Actions
User prompts referencing image to video maker ai, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.
| User says... | Action | Skip SSE? |
|---|---|---|
| "export" / "导出" / "download" / "send me the video" | → §3.5 Export | ✅ |
| "credits" / "积分" / "balance" / "余额" | → §3.3 Credits | ✅ |
| "status" / "状态" / "show tracks" | → §3.4 State | ✅ |
| "upload" / "上传" / user sends file | → §3.2 Upload | ✅ |
| Everything else (generate, edit, add BGM…) | → §3.1 SSE | ❌ |
Cloud Render Pipeline Details
Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.
Skill attribution — read from this file's YAML frontmatter at runtime:
X-Skill-Source:image-to-video-maker-aiX-Skill-Version: from frontmatterversionX-Skill-Platform: detect from install path (~/.clawhub/→clawhub,~/.cursor/skills/→cursor, elseunknown)
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-bwbernardweston18-image-to-video-maker-ai": {
"enabled": true,
"auto_update": true
}
}
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