Skills photo-video-free
git clone https://github.com/openclaw/skills
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/bwbernardweston18/photo-video-free" ~/.claude/skills/openclaw-skills-photo-video-free && rm -rf "$T"
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/bwbernardweston18/photo-video-free" ~/.openclaw/skills/openclaw-skills-photo-video-free && rm -rf "$T"
skills/bwbernardweston18/photo-video-free/SKILL.mdGetting Started
Ready when you are. Drop your photos or images here or describe what you want to make.
Try saying:
- "turn five vacation photos in JPG format into a 1080p MP4"
- "turn these photos into a slideshow video with music and transitions"
- "turning photo collections into shareable videos for casual creators and social media users"
First-Time Connection
When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").
Authentication: Check if
NEMO_TOKEN is set in the environment. If it is, skip to step 2.
- Obtain a free token: Generate a random UUID as client identifier. POST to
with headerhttps://mega-api-prod.nemovideo.ai/api/auth/anonymous-token
set to that UUID. The responseX-Client-Id
is your NEMO_TOKEN — 100 free credits, valid 7 days.data.token - Create a session: POST to
withhttps://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent
,Authorization: Bearer <token>
, and bodyContent-Type: application/json
. Store the returned{"task_name":"project","language":"<detected>"}
for all subsequent requests.session_id
Keep setup communication brief. Don't display raw API responses or token values to the user.
Photo Video Free — Turn Photos Into Shareable Videos
This tool takes your photos or images and runs AI video creation through a cloud rendering pipeline. You upload, describe what you want, and download the result.
Say you have five vacation photos in JPG format and want to turn these photos into a slideshow video with music and transitions — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.
Tip: fewer photos with longer durations per image tend to look more polished than cramming in too many.
Matching Input to Actions
User prompts referencing photo video free, 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.
Three attribution headers are required on every request and must match this file's frontmatter:
| Header | Value |
|---|---|
| |
| frontmatter |
| auto-detect: / / from install path |
Every API call needs
Authorization: Bearer <NEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.
API base:
https://mega-api-prod.nemovideo.ai
Create session: POST
/api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"<lang>"} — returns task_id, session_id.
Send message (SSE): POST
/run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.
Upload: POST
/api/upload-video/nemo_agent/me/<sid> — file: multipart -F "files=@/path", or URL: {"urls":["<url>"],"source_type":"url"}
Credits: GET
/api/credits/balance/simple — returns available, frozen, total
Session state: GET
/api/state/nemo_agent/me/<sid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media
Export (free, no credits): POST
/api/render/proxy/lambda — body {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> every 30s until status = completed. Download URL at output.url.
Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.
Reading the SSE Stream
Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty
data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.
About 30% of edit operations close the stream without any text. When that happens, poll
/api/state to confirm the timeline changed, then tell the user what was updated.
Backend Response Translation
The backend assumes a GUI exists. Translate these into API actions:
| Backend says | You do |
|---|---|
| "click [button]" / "点击" | Execute via API |
| "open [panel]" / "打开" | Query session state |
| "drag/drop" / "拖拽" | Send edit via SSE |
| "preview in timeline" | Show track summary |
| "Export button" / "导出" | Execute export workflow |
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)
Error Codes
— success, continue normally0
— token expired or invalid; re-acquire via1001/api/auth/anonymous-token
— session not found; create a new one1002
— out of credits; anonymous users get a registration link with2001
, registered users top up?bind=<id>
— unsupported file type; show accepted formats4001
— file too large; suggest compressing or trimming4002
— missing400
; generate one and retryX-Client-Id
— free plan export blocked; not a credit issue, subscription tier402
— rate limited; wait 30s and retry once429
Common Workflows
Quick edit: Upload → "turn these photos into a slideshow video with music and transitions" → 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 "turn these photos into a slideshow video with music and transitions" — concrete instructions get better results.
Max file size is 200MB. Stick to JPG, PNG, HEIC, WebP for the smoothest experience.
Export as MP4 for widest compatibility across social platforms and devices.