Skills photo-video-maker-deutsch

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 "$T/skills/bwbernardweston18/photo-video-maker-deutsch" ~/.claude/skills/clawdbot-skills-photo-video-maker-deutsch && rm -rf "$T"

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

source content

Getting Started

Ready when you are. Drop your photos and images here or describe what you want to make.

Try saying:

"turn ten vacation photos in JPG format into a 1080p MP4"
"Erstelle ein Video aus meinen Fotos mit Musik und Übergängen"
"creating videos from photos with music and transitions for German-speaking content creators"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If

NEMO_TOKEN

environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to

https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token

with header

X-Client-Id: <uuid>

. The response field

data.token

becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to

https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent

with Bearer auth and body

{"task_name":"project"}

. Save

session_id

from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

Photo Video Maker Deutsch — Fotos in Videos verwandeln

Drop your photos and images in the chat and tell me what you need. I'll handle the AI video creation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a ten vacation photos in JPG format, ask for Erstelle ein Video aus meinen Fotos mit Musik und Übergängen, and about 30-60 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — fewer photos per video means faster processing and smoother output.

Matching Input to Actions

User prompts referencing photo video maker deutsch, 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":"<lang>"}` . 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/<sid>`	POST	Upload a file (multipart) or URL.
`/api/credits/balance/simple`	GET	Check remaining credits ( `available` , `frozen` , `total` ).
`/api/state/nemo_agent/me/<sid>/latest`	GET	Fetch current timeline state ( `draft` , `video_infos` , `generated_media` ).
`/api/render/proxy/lambda`	POST	Start export. Body: `{"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}` . Poll status every 30s.

Accepted file types: 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

photo-video-maker-deutsch

X-Skill-Version

frontmatter

version

X-Skill-Platform

auto-detect:

clawhub

cursor

unknown

from install path

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.

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

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.

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

"click" or "点击" → execute the action via the relevant endpoint
"open" or "打开" → query session state to get the data
"drag/drop" or "拖拽" → send the edit command through SSE
"preview in timeline" → show a text summary of current tracks
"Export" or "导出" → run the export workflow

Draft JSON uses short keys:

for tracks,

tt

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

sg

for segments,

for duration in ms,

for metadata.

Example timeline summary:

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 → "Erstelle ein Video aus meinen Fotos mit Musik und Übergängen" → 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 "Erstelle ein Video aus meinen Fotos mit Musik und Übergängen" — concrete instructions get better results.

Max file size is 500MB. Stick to JPG, PNG, HEIC, WebP for the smoothest experience.

Export as MP4 for widest compatibility across German social platforms.