Task Router Skill
Task Router
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.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install blovett80/pixeldojo打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Use PixelDojo's async API to generate and download AI images or videos.
Runtime requirements:
PIXELDOJO_API_KEY
curl, jq, python3
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
generate.sh or the Nano Banana helper.Do not guess model IDs.
bash ~/.openclaw/skills/pixeldojo/models.sh
For a pinned snapshot of known-good model IDs and example picks, read:
references/model-catalog.md
bash ~/.openclaw/skills/pixeldojo/generate.sh image "editorial product photo of a silver robot" flux-2-pro --aspect-ratio 16:9
Good defaults:
flux-2-max
nano-banana-2
flux-kontext-pro
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
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
bash ~/.openclaw/skills/pixeldojo/status.sh job_abc123
`...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# 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: ```bash export PIXELDOJO_API_KEY=your_api_key_here ``` Optional local env file: ```bash cp ~/.openclaw/skills/pixeldojo/.env.example ~/.openclaw/skills/pixeldojo/.env ``` Default API base: `https://pixeldojo.ai/api/v1` ## Workflow 1. Check the live model catalog first. 2. Pick a model that matches the requested workflow. 3. Submit the job with `generate.sh` or the Nano Banana helper. 4. Poll status until complete, then return the downloaded asset path. Do not guess model IDs. ## Check the live catalog ```bash 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 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 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 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: ```bash 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 bash ~/.openclaw/skills/pixeldojo/status.sh job_abc123 `...
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