Text-to-speech conversion using `uvx edge-tts` 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, driving, cooking). (3) User wants a specific voice, speed, pitch, or format for TTS output.
npx skills add https://github.com/aahl/skills --skill edge-tts
Generate high-quality text-to-speech audio using Microsoft Edge's neural TTS service via the uvx edge-tts command.
Supports multiple languages, voices, adjustable speed/pitch, and subtitle generation.
uvx edge-tts --text "{msg}" --write-media {tempdir}/{filename}.mp3
# With subtitles
uvx edge-tts --text "{msg}" --write-media {tempdir}/{filename}.mp3 --write-subtitles -
uvx edge-tts --text "{msg}" --write-media {tempdir}/{filename}.mp3 --rate=+50%
uvx edge-tts --text "{msg}" --write-media {tempdir}/{filename}.mp3 --volume=+50% --pitch=-50Hz
uvx edge-tts --text "{msg}" --write-media {tempdir}/{filename}.mp3 --voice zh-CN-XiaoxiaoNeural
Name Gender ContentCategories VoicePersonalities
en-GB-LibbyNeural Female General Friendly, Positive
en-GB-RyanNeural Male General Friendly, Positive
en-GB-SoniaNeural Female General Friendly, Positive
en-GB-ThomasNeural Male General Friendly, Positive
en-HK-SamNeural Male General Friendly, Positive
en-HK-YanNeural Female General Friendly, Positive
en-US-AnaNeural Female Cartoon, Conversation Cute
en-US-AndrewMultilingualNeural Male Conversation, Copilot Warm, Confident, Authentic, Honest
en-US-AndrewNeural Male Conversation, Copilot Warm, Confident, Authentic, Honest
en-US-AriaNeural Female News, Novel Positive, Confident
en-US-AvaMultilingualNeural Female Conversation, Copilot Expressive, Caring, Pleasant, Friendly
en-US-AvaNeural Female Conversation, Copilot Expressive, Caring, Pleasant, Friendly
en-US-BrianMultilingualNeural Male Conversation, Copilot Approachable, Casual, Sincere
en-US-BrianNeural Male Conversation, Copilot Approachable, Casual, Sincere
en-US-ChristopherNeural Male News, Novel Reliable, Authority
en-US-EmmaMultilingualNeural Female Conversation, Copilot Cheerful, Clear, Conversational
en-US-EmmaNeural Female Conversation, Copilot Cheerful, Clear, Conversational
en-US-EricNeural Male News, Novel Rational
en-US-GuyNeural Male News, Novel Passion
en-US-JennyNeural Female General Friendly, Considerate, Comfort
en-US-MichelleNeural Female News, Novel Friendly, Pleasant
en-US-RogerNeural Male News, Novel Lively
en-US-SteffanNeural Male News, Novel Rational
fr-FR-DeniseNeural Female General Friendly, Positive
fr-FR-HenriNeural Male General Friendly, Positive
zh-CN-XiaoxiaoNeural Female News, Novel Warm
zh-CN-YunjianNeural Male Sports, Novel Passion
zh-CN-liaoning-XiaobeiNeural Female Dialect Humorous
zh-CN-shaanxi-XiaoniNeural Female Dialect Bright
zh-HK-HiuGaaiNeural Female General Friendly, Positive
zh-HK-WanLungNeural Male General Friendly, Positive
zh-TW-HsiaoChenNeural Female General Friendly, Positive
zh-TW-YunJheNeural Male General Friendly, Positive
Retrieve all available voices using shell commands:
uvx edge-tts --list-voices
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/edge-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.