| name | image-generation |
| description | Image generation skill based on Alibaba Cloud DashScope, supporting the creation of high-quality hand-drawn or standard images from user descriptions. |
| version | 1.0.0 |
| license | MIT |
Image Generation Skill
This skill allows agents to automatically generate high-quality images (defaulting to hand-drawn style) based on user intent.
Core Features
- Smart Prompt Optimization: Transforms simple user intent into detailed hand-drawn style prompts.
- Fast Generation: Uses non-streaming interfaces to significantly speed up image generation.
- Auto-Save: Automatically downloads generated images locally and saves metadata and API responses simultaneously.
Prerequisites
Before using this skill, ensure that the DASHSCOPE_API_KEY environment variable is set:
export DASHSCOPE_API_KEY="Your API Key"
User Guide
1. Refine the Prompt
You need to refine the user's original intent into a prompt suitable for image generation. For hand-drawn versions of architecture or flowcharts, it's recommended to include keywords like "hand-drawn", "sketch", "architectural drawing", etc.
2. Run the Script
Use the following command to call the generation script:
node skills/image-generate/scripts/generate_image.js "Your detailed prompt"
3. View Results
After the script completes, it will generate the following files in the current directory:
image_YYYY-MM-DDTHH-mm-ss.png: The generated image file.metadata_YYYY-MM-DDTHH-mm-ss.json: Metadata including prompt, file size, and duration.response_YYYY-MM-DDTHH-mm-ss.json: Raw API response data (for debugging).
Example
User Intent: "Help me draw an architecture diagram of an AI coding assistant."
Recommended Prompt: "A detailed hand-drawn architectural diagram of an AI coding assistant, showing the interaction between the user, the IDE, and the LLM, technical sketch style, clean lines, white background."
Execution Command:
node skills/image-generate/scripts/generate_image.js "A detailed hand-drawn architectural diagram of an AI coding assistant, showing the interaction between the user, the IDE, and the LLM, technical sketch style, clean lines, white background."
