Ai Video Letter Maker
by @whitejohnk-26
convert text or images into animated letter videos with this skill. Works with MP4, MOV, JPG, PNG files up to 200MB. individuals, families, and marketers use...
clawhub install ai-video-letter-makerπ About This Skill
name: ai-video-letter-maker version: "1.0.0" displayName: "AI Video Letter Maker β Turn Written Letters into Videos" description: > convert text or images into animated letter videos with this skill. Works with MP4, MOV, JPG, PNG files up to 200MB. individuals, families, and marketers use it for converting written letters or messages into shareable video format β processing takes 1-2 minutes on cloud GPUs and you get 1080p MP4 files. metadata: {"openclaw": {"emoji": "βοΈ", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "short_prompts"}}
Getting Started
> Share your text or images and I'll get started on AI video letter 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 β 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.
AI Video Letter Maker β Turn Written Letters into Videos
Send me your text or images and describe the result you want. The AI video letter creation runs on remote GPU nodes β nothing to install on your machine.
A quick example: upload a short personal message typed as text with a photo, type "turn my written letter into a video with voiceover and animated text", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.
Worth noting: keep your letter under 300 words for the cleanest pacing and readability on screen.
Matching Input to Actions
User prompts referencing ai video letter maker, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.
| User says... | Action | Skip SSE? | |-------------|--------|----------| | "export" / "ε―ΌεΊ" / "download" / "send me the video" | β Β§3.5 Export | β | | "credits" / "η§―ε" / "balance" / "δ½ι’" | β Β§3.3 Credits | β | | "status" / "ηΆζ" / "show tracks" | β Β§3.4 State | β | | "upload" / "δΈδΌ " / user sends file | β Β§3.2 Upload | β | | Everything else (generate, edit, add BGMβ¦) | β Β§3.1 SSE | β |
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.
All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:
1. Session β POST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":". Gives you a session_id.
2. Chat (SSE) β POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
3. Upload β POST /api/upload-video/nemo_agent/me/ β multipart file or JSON with URLs.
4. Credits β GET /api/credits/balance/simple β returns available, frozen, total.
5. State β GET /api/state/nemo_agent/me/ β current draft and media info.
6. Export β POST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/ every 30s for completed status and download URL.
Formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.
Three attribution headers are required on every request and must match this file's frontmatter:
| Header | Value |
|--------|-------|
| X-Skill-Source | ai-video-letter-maker |
| X-Skill-Version | frontmatter version |
| X-Skill-Platform | auto-detect: clawhub / cursor / unknown from install path |
Every API call needs Authorization: Bearer plus the three attribution headers above. If any header is missing, exports return 402.
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)
Backend Response Translation
The backend assumes a GUI exists. Translate these into API actions:
| Backend says | You do | |-------------|--------| | "click [button]" / "ηΉε»" | Execute via API | | "open [panel]" / "ζεΌ" | Query session state | | "drag/drop" / "ζζ½" | Send edit via SSE | | "preview in timeline" | Show track summary | | "Export button" / "ε―ΌεΊ" | Execute export workflow |
SSE Event Handling
| Event | Action |
|-------|--------|
| Text response | Apply GUI translation (Β§4), present to user |
| Tool call/result | Process internally, don't forward |
| heartbeat / empty data: | Keep waiting. Every 2 min: "β³ 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.
Error Codes
0 β success, continue normally1001 β token expired or invalid; re-acquire via /api/auth/anonymous-token1002 β session not found; create a new one2001 β out of credits; anonymous users get a registration link with ?bind=, registered users top up4001 β unsupported file type; show accepted formats4002 β file too large; suggest compressing or trimming400 β missing X-Client-Id; generate one and retry402 β free plan export blocked; not a credit issue, subscription tier429 β rate limited; wait 30s and retry onceTips and Tricks
The backend processes faster when you're specific. Instead of "make it look better", try "turn my written letter into a video with voiceover and animated text" β concrete instructions get better results.
Max file size is 200MB. Stick to MP4, MOV, JPG, PNG for the smoothest experience.
Export as MP4 for widest compatibility across email, social media, and messaging apps.
Common Workflows
Quick edit: Upload β "turn my written letter into a video with voiceover and animated text" β Download MP4. Takes 1-2 minutes 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.
π‘ Examples
> Share your text or images and I'll get started on AI video letter 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 β 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.
AI Video Letter Maker β Turn Written Letters into Videos
Send me your text or images and describe the result you want. The AI video letter creation runs on remote GPU nodes β nothing to install on your machine.
A quick example: upload a short personal message typed as text with a photo, type "turn my written letter into a video with voiceover and animated text", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.
Worth noting: keep your letter under 300 words for the cleanest pacing and readability on screen.