A powerful multimodal skill for generating and editing images via TokenRouter compatible models within the OpenClaw ecosystem.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tokenrouter-images
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install tokenrouter-images using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The TokenRouter Image Generator is an essential addition to the library of Openclaw Skills, enabling developers to integrate high-fidelity image generation and editing directly into their AI agent workflows. By leveraging the Palebluedot Ai (PBD)-TokenRouter multimodal API, this skill allows for seamless text-to-image and image-to-image transformations using industry-leading models like Gemini and GPT-5.
This skill is designed for precision, offering granular control over image configuration including aspect ratios and resolutions up to 4K. Whether you are building automated media pipelines or enhancing agent-led design tasks, incorporating these types of Openclaw Skills ensures your AI can interact with and create visual content effectively.
To use this skill, ensure you have a TokenRouter API key from https://www.tokenrouter.com. You can provide the key via the --api-key argument, an environment variable, or by letting the script auto-detect it from your config.
# Create the required directory
mkdir -p ~/.openclaw/media/outbound
# Optional: Set environment variable
export PBD_TOKENROUTER_API_KEY="sk-your-key-here"
# Run the generation script
uv run ~/.openclaw/workspace/skills/pbd-tokenrouter-image-generator/scripts/generate_image.py \
--prompt "A serene mountain landscape in a studio Ghibli style" \
--filename "~/.openclaw/media/outbound/mountain.png" \
--model google/gemini-2.5-flash-image
The skill manages generated media files and metadata using a structured approach to ensure compatibility with other Openclaw Skills.
| Component | Details |
|---|---|
| Output Directory | Files are stored in ~/.openclaw/media/outbound/ |
| Filename Pattern | Uses yyyy-mm-dd-hh-mm-ss-name.png for versioning |
| Supported Models | google/gemini-2.5-flash-image, openai/gpt-5-image, and more |
| Image Config | Supports image_size (1K, 2K, 4K) and aspect_ratio (1:1, 16:9, etc.) |
| API Modalities | Always sends ["image", "text"] to the multimodal endpoint |
openclaw.json).Loading
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