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Convert text to speech with Google Gemini TTS API at fixed 1.2x playback speed and WAV output. Use when users need fast narration generation from English or Chinese text, with optional voice and output filename.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/joyehuang/skills --skill gemini-tts-fastコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
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SKILL.md を表示中
| name | gemini-tts-fast |
| description | Convert text to speech with Google Gemini TTS API at fixed 1.2x playback speed and WAV output. Use when users need fast narration generation from English or Chinese text, with optional voice and output filename. |
Convert text to speech using Google Gemini's TTS API with fixed 1.2x playback speed. Automatically generates standard WAV audio files optimized for video narration.
google-genai packageGOOGLE_API_KEY environment variable (stored in .env file)When the user requests text-to-speech conversion, the skill will automatically apply 1.2x speed:
.env file to get the API key--output=filename.wav (optional, default: output.wav)--voice=VoiceName (optional, default: Puck)The skill now includes its own tts_cli.py script in the skill directory, making it fully portable:
set -a && source .env && set +a && \
source venv/bin/activate && \
python .claude/skills/gemini-tts-fast/tts_cli.py "<text>" --output="<filename>" --voice="<voice>" --speed=1.2
Note: Users need to:
pip install google-genai.env file with GOOGLE_API_KEY=your-keybrew install ffmpeg (macOS) or equivalentpython -m venv venvGOOGLE_API_KEY is missing from .env, instruct user to add itbrew install ffmpeg)Simple usage (English):
/gemini-tts-fast "Hello world"
→ Generates output.wav at 1.2x speed
With custom output:
/gemini-tts-fast "Welcome to our app" --output=welcome.wav
→ Generates welcome.wav at 1.2x speed
With custom voice:
/gemini-tts-fast "Thank you for listening" --output=thanks.wav --voice=Aoede
→ Generates thanks.wav at 1.2x speed with Aoede voice
Chinese text:
/gemini-tts-fast "你好世界" --output=hello_cn.wav --voice=Kore
→ Generates hello_cn.wav at 1.2x speed with Kore voice
Processing script.json:
/gemini-tts-fast @script.json
→ Automatically processes all narration scenes from script.json at 1.2x speed
atempo filter1.2x speed is optimal for video narration because:
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