Pixeldojo OpenClaw Plugin & Skill | ClawHub
Looking to integrate Pixeldojo into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate coding agents & ides tasks instantly, without having to write custom tools from scratch.
What this skill does
Access PixelDojo's API for AI image and video generation. Use when an agent needs to create images or videos, choose a model from the live PixelDojo catalog, check async job status, or download finished assets. PixelDojo is a subscription-based creative platform that exposes multiple generation models through one API, including general image, editing-oriented image, and video workflows.
Install
openclaw skills install @blovett80/pixeldojonpx clawhub@latest install pixeldojoFull SKILL.md
Open original| name | description |
|---|---|
| pixeldojo | Access PixelDojo's API for AI image and video generation. Use when an agent needs to create images or videos, choose a model from the live PixelDojo catalog, check async job status, or download finished assets. PixelDojo is a subscription-based creative platform that exposes multiple generation models through one API, including general image, editing-oriented image, and video workflows. |
SKILL.md content below is scrollable.
PixelDojo
Use PixelDojo's async API to generate and download AI images or videos.
Setup
Runtime requirements:
- Environment variable:
PIXELDOJO_API_KEY - Binaries:
curl,jq,python3 - Optional override:
PIXELDOJO_API_BASE
Set the API key before running any helper:
export PIXELDOJO_API_KEY=your_api_key_here
Optional local env file:
cp ~/.openclaw/skills/pixeldojo/.env.example ~/.openclaw/skills/pixeldojo/.env
Default API base: https://pixeldojo.ai/api/v1
Workflow
- Check the live model catalog first.
- Pick a model that matches the requested workflow.
- Submit the job with
generate.shor the Nano Banana helper. - Poll status until complete, then return the downloaded asset path.
Do not guess model IDs.
Check the live catalog
bash ~/.openclaw/skills/pixeldojo/models.sh
For a pinned snapshot of known-good model IDs and example picks, read:
references/model-catalog.md
Generate an image
bash ~/.openclaw/skills/pixeldojo/generate.sh image "editorial product photo of a silver robot" flux-2-pro --aspect-ratio 16:9
Good defaults:
- Best general image quality:
flux-2-max - Prompt adherence and typography:
nano-banana-2 - Editing-oriented image work:
flux-kontext-pro
Generate a video
bash ~/.openclaw/skills/pixeldojo/generate.sh video "cinematic ocean waves at sunset" seedance-1.5 --duration 5
Use --image-url for image-to-video models:
bash ~/.openclaw/skills/pixeldojo/generate.sh video "slow camera push-in" wan-2.6-flash --image-url https://example.com/input.png --duration 5
Nano Banana helper
Use this when the user specifically wants Nano Banana 2 or strong prompt adherence:
python3 ~/.openclaw/skills/pixeldojo/scripts/generate-nano-banana.py "clean ecommerce hero shot of running shoes" --aspect-ratio 16:9 --output ~/Desktop/shoes.png
Check job status
bash ~/.openclaw/skills/pixeldojo/status.sh job_abc123
Output paths
Default download folders:
~/Pictures/AI Generated/images/~/Pictures/AI Generated/videos/
Override with:
--output /path/to/file.png
Notes
generate.shsupports--aspect-ratio,--duration,--image-url,--output,--poll-interval, and--max-wait.generate.shcovers the shared prompt-based API flow. If a request needs model-specific editing payloads, inspect the live catalog and API behavior before improvising.- PixelDojo markets full commercial rights for generated output, but the user is still responsible for complying with the service terms and any third-party model restrictions.