Skills neodomain-ai

Name: neodomain-ai
Author: openclaw

Generate images and videos via Neodomain AI API. Supports text-to-image, image-to-video, text-to-video, and motion control video generation. Use when user wants to create AI-generated images or videos using the Neodomain platform.

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 "$T/skills/bandwhite/neodomain-ai" ~/.claude/skills/openclaw-skills-neodomain-ai && rm -rf "$T"

OpenClaw · Install into ~/.openclaw/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/bandwhite/neodomain-ai" ~/.openclaw/skills/openclaw-skills-neodomain-ai && rm -rf "$T"

manifest: skills/bandwhite/neodomain-ai/SKILL.md

Neodomain AI Content Generator

Generate images and videos using the Neodomain AI platform API.

Setup

Set your access token as an environment variable:

export NEODOMAIN_ACCESS_TOKEN="your_access_token_here"

Or pass it directly to scripts via

--token

flag.

Image Generation

Get Available Models

python3 {baseDir}/scripts/image_models.py --token $NEODOMAIN_ACCESS_TOKEN

Generate Images

# Basic text-to-image
python3 {baseDir}/scripts/generate_image.py --prompt "A futuristic city at sunset" --token $NEODOMAIN_ACCESS_TOKEN

# With options
python3 {baseDir}/scripts/generate_image.py \
  --prompt "A beautiful mountain landscape" \
  --negative-prompt "blurry, low quality" \
  --model "doubao-seedream-4-0" \
  --aspect-ratio "16:9" \
  --num-images 4 \
  --size "2K" \
  --output-dir ./output/images \
  --token $NEODOMAIN_ACCESS_TOKEN

Parameters

Parameter	Description	Default
`--prompt`	Text description for image generation	Required
`--negative-prompt`	Things to exclude from image	Empty
`--model`	Model name (see models list)	`gemini-3.1-flash-image-preview`
`--aspect-ratio`	Image aspect ratio: `1:1` , `16:9` , `9:16` , `4:3` , `3:4`	`1:1`
`--num-images`	Number of images to generate: `1` or `4`	`1`
`--size`	Image size: `1K` , `2K` , `4K`	`2K`
`--guidance-scale`	Prompt adherence (1.0-20.0)	`7.5`
`--seed`	Random seed for reproducibility	Random
`--output-format`	Output format: `jpeg` , `png` , `webp`	`jpeg`
`--output-dir`	Where to save images	`./output`

Image Generation with Reference Images

Use

generate_image_ref.py

to generate images with character reference(s). Supports up to 10 reference images per generation:

# Single reference image
python3 {baseDir}/scripts/generate_image_ref.py \
  --prompt "A woman walking in a forest" \
  --reference-image "https://example.com/character1.jpg" \
  --model "doubao-seedream-5-0-260128" \
  --aspect-ratio "16:9" \
  --token $NEODOMAIN_ACCESS_TOKEN

# Multiple reference images (up to 10)
python3 {baseDir}/scripts/generate_image_ref.py \
  --prompt "A conversation between two people" \
  --reference-image "https://example.com/character1.jpg" \
  --reference-image "https://example.com/character2.jpg" \
  --reference-image "https://example.com/character3.jpg" \
  --model "doubao-seedream-5-0-260128" \
  --aspect-ratio "16:9" \
  --token $NEODOMAIN_ACCESS_TOKEN

Parameter	Description	Default
`--reference-image`	Reference image URL(s) - can specify multiple (up to 10)	-

Video Generation

Get Available Models

python3 {baseDir}/scripts/video_models.py --token $NEODOMAIN_ACCESS_TOKEN

Generate Videos

Text-to-Video

python3 {baseDir}/scripts/generate_video.py \
  --prompt "A serene lake at dawn with mist rising from the water" \
  --model "veo3" \
  --generation-type "TEXT_TO_VIDEO" \
  --aspect-ratio "16:9" \
  --resolution "720p" \
  --duration "8s" \
  --token $NEODOMAIN_ACCESS_TOKEN

Image-to-Video

python3 {baseDir}/scripts/generate_video.py \
  --prompt "The camera slowly pans across the landscape" \
  --model "veo3" \
  --generation-type "IMAGE_TO_VIDEO" \
  --first-frame "https://example.com/image.jpg" \
  --aspect-ratio "16:9" \
  --resolution "720p" \
  --duration "8s" \
  --token $NEODOMAIN_ACCESS_TOKEN

Motion Control (Image + Video Reference)

python3 {baseDir}/scripts/motion_control.py \
  --image "https://example.com/ref_image.jpg" \
  --video "https://example.com/ref_video.mp4" \
  --prompt "Make the character dance" \
  --mode "pro" \
  --duration 5000 \
  --token $NEODOMAIN_ACCESS_TOKEN

Parameters

Parameter	Description	Default
`--prompt`	Text description for video	Required
`--model`	Model name: `veo3` , `hailuo02` , `doubao`	`veo3`
`--generation-type`	Type: `TEXT_TO_VIDEO` , `IMAGE_TO_VIDEO` , `REFERENCE_TO_VIDEO`	`TEXT_TO_VIDEO`
`--first-frame`	First frame image URL (for IMAGE_TO_VIDEO)	-
`--last-frame`	Last frame image URL (optional)	-
`--image-urls`	Reference images (comma-separated, for REFERENCE_TO_VIDEO)	-
`--aspect-ratio`	Video aspect: `16:9` , `9:16` , `1:1`	`16:9`
`--resolution`	Resolution: `720p` , `768p` , `1080p`	`720p`
`--duration`	Duration: `4s` , `5s` , `6s` , `8s` , `10s` , `16s`	`8s`
`--fps`	Frame rate	`24`
`--seed`	Random seed	Random
`--generate-audio`	Generate audio (true/false)	`false`
`--enhance-prompt`	Enhance prompt (true/false)	`false`
`--output-dir`	Where to save output	`./output`

Authentication

重要: 每次 token 过期或首次使用时，动态询问用户登录账号（手机号/邮箱），不要硬编码保存。

If you need to obtain an access token:

# 1. 发送验证码 (询问用户手机号或邮箱)
python3 {baseDir}/scripts/login.py --send-code --contact "用户手机号或邮箱"

# 2. 用户提供验证码后，登录获取 token
python3 {baseDir}/scripts/login.py --login --contact "用户手机号或邮箱" --code "验证码"

The login script will output an access token that you can store in

NEODOMAIN_ACCESS_TOKEN

Workflow

Authenticate (first time only): Get your access token
Get models: Check available models for your needs
Generate: Create content with appropriate parameters
Wait: Scripts automatically poll for results
Download: Images/videos saved to output directory

Output

Images:
```
*.jpg
```
,
```
*.png
```
, or
```
*.webp
```
files
Videos:
```
*.mp4
```
files with thumbnail
```
metadata.json
```
with generation details