> Generate text, images, video, speech, and music via the MiniMax AI platform. Covers text generation (MiniMax-M3 model), image generation (image-01), video generation (Hailuo-2.3), speech synthesis (speech-2.8-hd, 300+ voices), music generation (music-2.6 with lyrics, cover, and instrumental), and web search. Use when the user needs to create AI-generated multimedia content, produce narrated audio from text, compose music, or search the web through MiniMax AI services.
npx skills add https://github.com/agentscope-ai/OpenJudge --skill mmx-cli
Generate multimedia content (text, images, video, speech, music) via the
MiniMax AI platform.
npx skills add MiniMax-AI/cli@skill -g -y
Or manually:
npm install -g @minimax-ai/cli
Set your API key:
export MINIMAX_API_KEY=your_api_key_here
| Capability | Command | Model |
|------------|---------|-------|
| Text generation | mmx text generate | MiniMax-M3 |
| Image generation | mmx image generate | image-01 |
| Video generation | mmx video generate | Hailuo-2.3 |
| Speech synthesis | mmx speech generate | speech-2.8-hd |
| Music generation | mmx music generate | music-2.6 |
| Web search | mmx search | — |
# Generate text
mmx text generate "Summarize the key benefits of reinforcement learning"
# Generate an image
mmx image generate "A futuristic city skyline at sunset, photorealistic"
# Generate a short video clip
mmx video generate "A golden retriever playing in autumn leaves"
# Synthesize speech from text
mmx speech generate --text "Hello, welcome to the demo." --voice Calm_Woman
# Generate music with lyrics
mmx music generate --lyrics "Rise and shine, a brand new day" --style "pop upbeat"
# Web search
mmx search "latest advances in LLM evaluation"
| Info | Required? | Notes |
|------|-----------|-------|
| MINIMAX_API_KEY | Yes | From MiniMax platform |
| Prompt or text | Yes | Describe what to generate |
| Voice name | No | For speech; run mmx speech list-voices to browse 300+ options |
| Output path | No | Default saves to current directory |
--output json flag for structured output suitable for pipelines.--non-interactive and --quiet flags in automated / agent workflows.mmx --help or mmx <subcommand> --help to see all options.in the upstream repo is always up-to-date with the latest flags and models.
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 agentscope-ai/mmx-cli 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.
The instructions reference npm, npx.
Without those the skill loads but fails at the first command.