Generate AI images, videos, music, and audio from the terminal via muapi.ai — supports 100+ models including Flux, Midjourney v7, Kling 3.0, Veo3, and Suno V5
npx skills add https://github.com/SamurAIGPT/Generative-Media-Skills --skill muapi-media-generation
Schema-driven generation primitives for images, videos, and audio.
Generate professional-grade media directly from the terminal using 100+ state-of-the-art AI models. All scripts are powered by schema_data.json for dynamic model and endpoint resolution.
| Script | Description | Default Model |
| :--- | :--- | :--- |
| generate-image.sh | Text-to-image generation | flux-dev |
| generate-video.sh | Text-to-video generation | minimax-pro |
| image-to-video.sh | Animate a static image into video | kling-pro |
| create-music.sh | Music creation, remix, extend, text/video-to-audio | Suno V5 |
| upload.sh | Upload local files to CDN for use with other skills | — |
# Generate an image
bash generate-image.sh --prompt "a sunset over mountains" --model flux-dev --view
# Generate a video
bash generate-video.sh --prompt "ocean waves at golden hour" --model minimax-pro --view
# Animate an image
bash image-to-video.sh --image-url "https://..." --prompt "camera slowly pans right" --model kling-pro
# Create music
bash create-music.sh --style "lo-fi hip hop" --prompt "chill beats for studying"
# Upload a local file
bash upload.sh --file ./my-image.jpg
All scripts support: --async, --view, --json, --timeout N, --help
MUAPI_KEY environment variable (set via core/platform/setup.sh)curl, jq, python3Create 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 samuraigpt/muapi-media-generation 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.