How do I install the Tts Generation skill?

Run npx skillmds@latest add google-gemini/tts-generation in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Tts Generation safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Tts Generation?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Tts Generation free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Tts Generation?

Google Gemini (@google-gemini) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Tts Generation by google-gemini — Agent Skill

Name: Tts Generation
Author: Google Gemini

File contents

TTS Generation

Convert the radio show script into speech audio using the Gemini TTS model via the Interactions API. Apply a telephone bandpass filter to correspondent voices so they sound like phone call-ins, while keeping the host's voice clean studio-quality.

Embedded Script

python3 skills/tts-generation/scripts/generate_tts.py --workspace ./workspace

Arguments

Argument	Default	Description
`--workspace`	`workspace`	Root workspace directory
`--workers`	`8`	Max parallel TTS worker threads

What it does

Reads the script from {workspace}/data/script.md.
Parses it into individual (speaker, text) turns and assigns voices.
Generates TTS for all turns in parallel using a thread pool (default 8 workers).
Retries each failed turn up to 3 times with exponential backoff.
Applies an ffmpeg telephone bandpass filter (300Hz–3.4kHz) to correspondent voices.
Keeps the host (Paul) audio clean and unfiltered.
Concatenates all segments in original script order into a single WAV.

Dependencies

google-genai (>= 2.0.0)
ffmpeg (system)

API Details

Uses the Interactions API with single-speaker TTS — no multi-speaker workaround needed.

Voice Assignment

Voices are assigned dynamically based on [Male] / [Female] gender tags in the script:

Speaker	Voice	Audio Treatment
Paul (host)	`Puck`	Clean — no filter
Caller `[Female]` — 1st	`Kore`	Telephone filter
Caller `[Female]` — 2nd	`Aoede`	Telephone filter
Caller `[Male]` — 1st	`Charon`	Telephone filter
Caller `[Male]` — 2nd	`Fenrir`	Telephone filter

Voices cycle round-robin if there are more callers than available voices. Accent tags ([Accent: Irish], etc.) are injected into the TTS prompt to influence pronunciation.

Telephone Filter

Applied via ffmpeg to correspondent audio segments:

highpass=f=300, lowpass=f=3400, acompressor, volume=1.5

This simulates the standard telephone bandwidth (300Hz–3.4kHz) and adds compression to mimic phone codec dynamics.

Output

Primary output: {workspace}/audio/speech/speech.wav
Format: WAV, 24kHz, 16-bit PCM, mono
Intermediate segments: {workspace}/audio/speech/segments/turn_*.wav

---name: tts-generationdescription: Convert radio show script to speech audio with telephone effect on correspondent voices using the Interactions API.---# TTS GenerationConvert the radio show script into speech audio using the Gemini TTS model via the **Interactions API**. Apply a telephone bandpass filter to correspondent voices so they sound like phone call-ins, while keeping the host's voice clean studio-quality.## Embedded Script```bashpython3 skills/tts-generation/scripts/generate_tts.py --workspace ./workspace```### Arguments| Argument | Default | Description ||----------|---------|-------------|| `--workspace` | `workspace` | Root workspace directory || `--workers` | `8` | Max parallel TTS worker threads |### What it does1. Reads the script from `{workspace}/data/script.md`.2. Parses it into individual `(speaker, text)` turns and assigns voices.3. Generates TTS for all turns **in parallel** using a thread pool (default 8 workers).4. **Retries** each failed turn up to 3 times with exponential backoff.5. Applies an ffmpeg telephone bandpass filter (300Hz–3.4kHz) to correspondent voices.6. Keeps the host (Paul) audio clean and unfiltered.7. Concatenates all segments in original script order into a single WAV.### Dependencies- `google-genai` (>= 2.0.0)- `ffmpeg` (system)## API DetailsUses the **Interactions API** with single-speaker TTS — no multi-speaker workaround needed.## Voice AssignmentVoices are assigned **dynamically** based on `[Male]` / `[Female]` gender tags in the script:| Speaker | Voice | Audio Treatment ||---------|-------|-----------------|| **Paul** (host) | `Puck` | **Clean** — no filter || Caller `[Female]` — 1st | `Kore` | **Telephone filter** || Caller `[Female]` — 2nd | `Aoede` | **Telephone filter** || Caller `[Male]` — 1st | `Charon` | **Telephone filter** || Caller `[Male]` — 2nd | `Fenrir` | **Telephone filter** |Voices cycle round-robin if there are more callers than available voices. Accent tags (`[Accent: Irish]`, etc.) are injected into the TTS prompt to influence pronunciation.## Telephone FilterApplied via ffmpeg to correspondent audio segments:```highpass=f=300, lowpass=f=3400, acompressor, volume=1.5```This simulates the standard telephone bandwidth (300Hz–3.4kHz) and adds compression to mimic phone codec dynamics.## Output- **Primary output**: `{workspace}/audio/speech/speech.wav`- **Format**: WAV, 24kHz, 16-bit PCM, mono- **Intermediate segments**: `{workspace}/audio/speech/segments/turn_*.wav`

Frequently asked questions

Tts Generation