Generate an image from a text prompt using the default OpenAI-like LLM config (gpt-image-1-mini or compatible image generation API). The image is uploaded to the gofile.io public file sharing service and ONLY the public download page URL is returned.
npx skills add https://github.com/ai-sns/ai-sns --skill Draw Image
Generate images via the OpenAI-compatible images/generations endpoint using the default LLM configuration.
This skill accepts a JSON object as input params.
prompt (string, required)size (string, optional)1024x10241024x1024, 1792x1024, 1024x1792model (string, optional)gpt-image-1-miniquality (string, optional)low, medium, high. Default: lown (integer, optional)1read_skill with skill_key: "draw_image" to read this document.run_doc_skill with skill_key: "draw_image" and params.Example:
{
"skill_key": "draw_image",
"prompt": "A futuristic cityscape at sunset with flying cars",
"size": "1024x1024"
}
The runner prints a JSON object to stdout with:
ok (bool): Whether the generation and upload succeeded.download_page (string): The public gofile.io download page URL of the generated image. Only this URL is returned as the result. Open this URL in a browser to download the generated image.note (string): A short hint explaining that download_page is used to download the generated image.error (string): Error message on failure.Example success output:
{
"ok": true,
"download_page": "https://gofile.io/d/WcWZKt",
"note": "Use this URL to download the generated image."
}
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
Take ai-sns/draw image from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.