真正的本地语音合成服务,使用 Edge-TTS 引擎,零依赖、零配置、完全离线可用,支持多语言和多种音色
npx skills add https://github.com/anbeime/skill --skill qwen3-tts-local
直接提出需求,无需任何配置。
"朗读这段文本,用温柔女声"
"生成英语配音"
"用日语朗读这段话"
"用男声朗读解说词"
服务自动执行:
| 音色名称 | 性别 | 风格 | 适用场景 |
|---------|------|------|---------|
| zh-CN-XiaoxiaoNeural | 女 | 年轻活泼 | 广告、短视频 |
| zh-CN-YunyangNeural | 男 | 沉稳 | 纪录片、企业宣传 |
| zh-CN-XiaohanNeural | 女 | 知性 | 新闻播报 |
| zh-CN-YunjianNeural | 男 | 深沉 | 电影旁白 |
| zh-CN-XiaomengNeural | 女 | 温柔 | 有声书、故事 |
| zh-CN-YunxiNeural | 男 | 活泼 | 游戏解说 |
| 音色名称 | 性别 | 风格 | 适用场景 |
|---------|------|------|---------|
| en-US-JennyNeural | 女 | 美式 | 商务对话 |
| en-US-GuyNeural | 男 | 美式 | 新闻播报 |
| en-GB-SoniaNeural | 女 | 英式 | 正式场合 |
| en-GB-RyanNeural | 男 | 英式 | 文学朗读 |
"朗读这段文本:欢迎使用本地语音合成服务"
"用温柔女声朗读这段文本:今天天气真好"
"用英语朗读这段话:Hello, how are you?"
"用日语朗读这段话:こんにちは"
"用激昂的语调朗读这段解说词:让我们勇往直前!"
"用温柔的语调朗读这段故事:很久很久以前..."
# 安装 edge-tts
pip install edge-tts
# 验证安装
edge-tts --help
Edge-TTS 工作原理:
与 API 调用的区别:
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 anbeime/qwen3-tts-local 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 pip.
Without those the skill loads but fails at the first command.