gemini-tts
Generate speech from text using Google Gemini TTS models via scripts/. Use for text-to-speech, audio generation, voice synthesis, multi-speaker conversations, and creating audio content. Supports multiple voices and streaming. Triggers on "text to speech", "TTS", "generate audio", "voice synthesis", "speak this text".
npx skills add majiayu000/claude-skill-registry --skill gemini-tts-akrindev-google-studio-skills --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Gemini Text-to-Speech Generate natural-sounding speech from text using Gemini's TTS models through executable scripts with support for multiple voices and multi-speaker conversations. ## When to Use This Skill Use this skill when you need to: - Convert text to natural speech - Create audio for podcasts, audiobooks, or videos - Generate multi-speaker conversations - Stream audio for long content - Choose from multiple voice options - Create accessible audio content - Generate voiceovers for presentations - Batch convert text to audio files ## Available Scripts ### scripts/tts.py **Purpose**: Convert text to speech using Gemini TTS models **When to use**: - Any text-to-speech conversion - Multi-speaker conversation generation - Streaming audio for long texts - Voiceovers for content creation - Accessible audio generation **Key parameters**: | Parameter | Description | Example | |-----------|-------------|---------| | `text` | Text to convert (required) | `"Hello, world!"` | | `--voice`, `-v` | Voice name | `Kore` | | `--output`, `-o` | Base name for output file | `welcome` | | `--output-dir` | Output directory for audio | `audio/` | | `--no-timestamp` | Disable auto timestamp | Fla
- When to Use This Skill
- Available Scripts
- scripts/tts.py
- Workflows
- Workflow 1: Basic Text-to-Speech
- Workflow 2: Choose Different Voice
- Workflow 3: Multi-Speaker Conversation
- Workflow 4: Long Content with Streaming
- Workflow 5: Professional Voiceover
- Workflow 6: Custom Output Directory
- Workflow 7: Content Creation Pipeline (Text → Audio)
- Workflow 8: Accessible Content
- Workflow 9: Educational Content
- Workflow 10: Disable Timestamp
python scripts/tts.py "Hello, world! Have a wonderful day." python scripts/tts.py "Welcome to our podcast about technology trends" --voice Puck --output welcome python scripts/tts.py "TTS the following conversation: python scripts/tts.py "This is a very long text that would benefit from streaming..." --stream --output long-form python scripts/tts.py "Save to specific folder." --output-dir ./my-projects/podcasts/ --output episode1 python skills/gemini-text/scripts/generate.py "Write a 2-minute podcast intro about sustainable energy" python scripts/tts.py "[Paste generated script]" --voice Fenrir --output podcast-intro python scripts/tts.py "Welcome to our accessible website. This audio describes our main navigation options." --voice Aoede --output accessibility python scripts/tts.py "Chapter 1: Introduction to Quantum Computing. Let's explore the fundamental principles..." --voice Zephyr --output chapter1 python scripts/tts.py "Fixed filename." --output my-audio --no-timestamp
What does the gemini-tts skill do?
Generate speech from text using Google Gemini TTS models via scripts/. Use for text-to-speech, audio generation, voice synthesis, multi-speaker conversations, and creating audio content. Supports multiple voices and streaming. Triggers on "text to speech", "TTS", "generate audio", "voice synthesis", "speak this text".
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill gemini-tts-akrindev-google-studio-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.