Text-to-speech conversion using GLM-TTS service via the `uvx zai-tts` command for generating audio from text. Use when (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, podcast, driving, cooking). (3) Using pre-cloned voices for speech.
npx skills add https://github.com/aahl/skills --skill zai-tts
Generate high-quality text-to-speech audio using GLM-TTS service via the uvx zai-tts command.
Before using this skill, you need to configure the environment variables ZAI_AUDIO_USERID and ZAI_AUDIO_TOKEN,
which can be obtained by login audio.z.ai and executing localStorage['auth-storage'] in the console via F12 Developer Tools.
uvx zai-tts -t "{msg}" -o {tempdir}/{filename}.wav
uvx zai-tts -f path/to/file.txt -o {tempdir}/{filename}.wav
uvx zai-tts -t "{msg}" -o {tempdir}/{filename}.wav --speed 1.5
uvx zai-tts -t "{msg}" -o {tempdir}/{filename}.wav --speed 1.5 --volume 2
uvx zai-tts -t "{msg}" -o {tempdir}/{filename}.wav --voice system_002
system_001: Lila. A cheerful, standard-pronunciation female voice
system_002: Chloe. A gentle, elegant, intelligent female voice
system_003: Ethan. A sunny, standard-pronunciation male voice
Retrieve all available voices using shell commands:
uvx zai-tts -l
If you want to use custom voices, please complete voice cloning on the website audio.z.ai first.
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 aahl/zai-tts 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 uvx.
Without those the skill loads but fails at the first command.