Skills photo-video-maker-free

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/bwbernardweston18/photo-video-maker-free" ~/.claude/skills/clawdbot-skills-photo-video-maker-free && rm -rf "$T"

manifest: skills/bwbernardweston18/photo-video-maker-free/SKILL.md

source content

Getting Started

Share your photos and images and I'll get started on AI video creation. Or just tell me what you're thinking.

Try saying:

"turn my photos and images"
"export 1080p MP4"
"turn my photos into a slideshow"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

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-token

with the

X-Client-Id

header

The response includes a
```
token
```
with 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.

Photo Video Maker Free — Turn Photos into Shareable Videos

Send me your photos and 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 ten vacation photos in JPG format, type "turn my photos into a slideshow video with music and transitions", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: keeping your photo set under 20 images speeds up processing noticeably.

Matching Input to Actions

User prompts referencing photo video maker 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.

All calls go to

https://mega-api-prod.nemovideo.ai

. The main endpoints:

Session —

POST /api/tasks/me/with-session/nemo_agent

with

{"task_name":"project","language":"<lang>"}

. Gives you a

session_id

Chat (SSE) —

POST /run_sse

with

session_id

and your message in

new_message.parts[0].text

. Set

Accept: text/event-stream

. Up to 15 min.

Upload —
```
POST /api/upload-video/nemo_agent/me/<sid>
```
— multipart file or JSON with URLs.

Credits —

GET /api/credits/balance/simple

— returns

available

frozen

total

State —

GET /api/state/nemo_agent/me/<sid>/latest

— current draft and media info.

Export —
```
POST /api/render/proxy/lambda
```
with render ID and draft JSON. Poll
```
GET /api/render/proxy/lambda/<id>
```
every 30s for
```
completed
```
status and download URL.

Formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Skill attribution — read from this file's YAML frontmatter at runtime:

```
X-Skill-Source
```
:
```
photo-video-maker-free
```
```
X-Skill-Version
```
: from frontmatter
```
version
```

X-Skill-Platform

: detect from install path (

~/.clawhub/

→

clawhub

~/.cursor/skills/

→

cursor

, else

unknown

)

All requests must include:

Authorization: Bearer <NEMO_TOKEN>

X-Skill-Source

X-Skill-Version

X-Skill-Platform

. Missing attribution headers will cause export to fail with 402.

Draft field mapping:

=tracks,

tt

=track type (0=video, 1=audio, 7=text),

sg

=segments,

=duration(ms),

=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]" / "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

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.

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=<id>` (get `<id>` from create-session or state response when needed). Registered: "Top up credits in your account"
4001	Unsupported file	Show supported formats
4002	File too large	Suggest compress/trim
400	Missing X-Client-Id	Generate Client-Id and retry (see §1)
402	Free plan export blocked	Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429	Rate limit (1 token/client/7 days)	Retry in 30s once

Common Workflows

Quick edit: Upload → "turn my 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 my 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 phones, social platforms, and web.