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.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
日本語の概要は準備中です。原文の説明を表示しています。
Create video compositions, animations, title cards, overlays, captions, voiceovers, audio-reactive visuals, and scene transitions in HyperFrames HTML. Use when asked to build any HTML-based video content, add captions or subtitles synced to audio, generate text-to-speech narration, create audio-reactive animation (beat sync, glow, pulse driven by music), add animated text highlighting (marker sweeps, hand-drawn circles, burst lines, scribble, sketchout), or add transitions between scenes (crossfades, wipes, reveals, shader transitions). Covers composition authoring, timing, media, and the full video production workflow. For dev-loop CLI commands (init, lint, inspect, preview, render) see the hyperframes-cli skill; for asset preprocessing commands (tts, transcribe, remove-background) see the hyperframes-media skill.
日本語の概要は準備中です。原文の説明を表示しています。
Use automatically for PDF tasks, including Chinese requests like 查看PDF, 读取PDF, PDF里写了什么, 总结PDF, 分析PDF, 提取PDF文字, 识别PDF内容, or questions about any .pdf file. Prefer text extraction with pdfplumber/pypdf first, then render pages with Poppler when layout, images, tables, stamps, watermarks, or scanned content matter.
日本語の概要は準備中です。原文の説明を表示しています。
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
日本語の概要は準備中です。原文の説明を表示しています。
Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says "search for", "find me", "look up", "what's the latest on", "find articles about", or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths.
日本語の概要は準備中です。原文の説明を表示しています。