Video Maker Arabic
by @susan4731-wilfordf
Skip the learning curve of professional editing software. Describe what you want — add Arabic subtitles and right-to-left captions to my video — and get Arab...
clawhub install video-maker-arabic📖 About This Skill
name: video-maker-arabic version: "1.0.0" displayName: "Video Maker Arabic — Create Videos with Arabic Text" description: > Skip the learning curve of professional editing software. Describe what you want — add Arabic subtitles and right-to-left captions to my video — and get Arabic captioned videos back in 30-60 seconds. Upload MP4, MOV, AVI, WebM files up to 500MB, and the AI handles Arabic video creation automatically. Ideal for Arabic-speaking content creators who need videos with Arabic text and captions without complex editing software. metadata: {"openclaw": {"emoji": "🎬", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "short_prompts"}}
Getting Started
> Share your video clips or images and I'll get started on Arabic video creation. Or just tell me what you're thinking.
Try saying:
Quick Start Setup
This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").
Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:
https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id headerdata.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.
Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.
Video Maker Arabic — Create Videos with Arabic Text
This tool takes your video clips or images and runs Arabic video creation through a cloud rendering pipeline. You upload, describe what you want, and download the result.
Say you have a 60-second product clip with no text and want to add Arabic subtitles and right-to-left captions to my video — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.
Tip: Arabic text renders right-to-left automatically — no manual alignment needed.
Matching Input to Actions
User prompts referencing video maker arabic, 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.
Base URL: https://mega-api-prod.nemovideo.ai
| Endpoint | Method | Purpose |
|----------|--------|---------|
| /api/tasks/me/with-session/nemo_agent | POST | Start a new editing session. Body: {"task_name":"project","language":". Returns session_id. |
| /run_sse | POST | Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min. |
| /api/upload-video/nemo_agent/me/ | POST | Upload a file (multipart) or URL. |
| /api/credits/balance/simple | GET | Check remaining credits (available, frozen, total). |
| /api/state/nemo_agent/me/ | GET | Fetch current timeline state (draft, video_infos, generated_media). |
| /api/render/proxy/lambda | POST | Start export. Body: {"id":"render_. Poll status every 30s. |
Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.
Headers are derived from this file's YAML frontmatter. X-Skill-Source is video-maker-arabic, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).
Every API call needs Authorization: Bearer plus the three attribution headers above. If any header is missing, exports return 402.
Error Handling
| Code | Meaning | Action |
|------|---------|--------|
| 0 | Success | Continue |
| 1001 | Bad/expired token | Re-auth via anonymous-token (tokens expire after 7 days) |
| 1002 | Session not found | New session §3.0 |
| 2001 | No credits | Anonymous: show registration URL with ?bind= (get
SSE Event Handling
| Event | Action |
|-------|--------|
| Text response | Apply GUI translation (§4), present to user |
| Tool call/result | Process internally, don't forward |
| heartbeat / empty data: | Keep waiting. Every 2 min: "⏳ Still working..." |
| Stream closes | Process final response |
~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.
Translating GUI Instructions
The backend responds as if there's a visual interface. Map its instructions to API calls:
Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.
Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)
Common Workflows
Quick edit: Upload → "add Arabic subtitles and right-to-left captions to my video" → Download MP4. Takes 30-60 seconds for a 30-second clip.
Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.
Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.
Tips and Tricks
The backend processes faster when you're specific. Instead of "make it look better", try "add Arabic subtitles and right-to-left captions to my video" — concrete instructions get better results.
Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.
Export as MP4 for widest compatibility across Arabic social media platforms.
💡 Examples
> Share your video clips or images and I'll get started on Arabic video creation. Or just tell me what you're thinking.
Try saying:
Quick Start Setup
This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").
Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:
https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id headerdata.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.
Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.
Video Maker Arabic — Create Videos with Arabic Text
This tool takes your video clips or images and runs Arabic video creation through a cloud rendering pipeline. You upload, describe what you want, and download the result.
Say you have a 60-second product clip with no text and want to add Arabic subtitles and right-to-left captions to my video — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.
Tip: Arabic text renders right-to-left automatically — no manual alignment needed.