Cartesia

CommunityPopular

Anil-matcha

cartesia

Cartesia text-to-speech: synthesize speech audio and browse voices. Trigger phrases: cartesia, text to speech, TTS, synthesize voice, voiceover.

Overview

Publisher	Anil-matcha
Repository	`awesome-muse-connectors`
Skill name	`cartesia`
Stars	1.4K
Forks	309
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Anil-matcha on GitHub. Read the source before you install it.

Installation

Install the Cartesia AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/cartesia
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git /tmp/awesome-muse-connectors
mkdir -p .claude/skills
cp -r /tmp/awesome-muse-connectors/connectors/cartesia .claude/skills/cartesia

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cartesia in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cartesia on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cartesia is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cartesia

Purpose

Generate spoken audio from text with Cartesia's Sonic models (40+ languages) and browse the Cartesia voice library. Reach for this when the user wants narration, voiceovers, or spoken-audio files produced from a script.

Tooling

All commands go through bin/cartesia.py. Every request automatically sends the required date header Cartesia-Version: 2026-08-14.

bash
bin/cartesia.py auth
# {"ok": true, "voices": 60} on success

bin/cartesia.py voices
# list available voices (id, name, language)

bin/cartesia.py voice-get --id <VOICE_ID>
# details for a single voice

bin/cartesia.py tts --text "Hello world" --voice-id <VOICE_ID> --out narration.wav
# synthesize speech to a local WAV file; prints the saved path

bin/cartesia.py tts --text "Bonjour le monde" --voice-id <VOICE_ID> \
    --language fr --model-id sonic-3 --out fr.wav

Notes:

tts returns audio binary. The CLI writes it to --out (default cartesia-output.wav) and prints the resulting path.
Streaming TTS (POST /tts/sse) and the WebSocket TTS/STT surfaces are real-time and outside CLI scope.

Auth

Provider id: cartesia (credential is collected as custom.cartesia)
Collection: Cartesia API key (sk_car_...) via the secure credential flow (credentials.request_api_access); create one at play.cartesia.ai/keys
Allowed hosts: api.cartesia.ai
Connect placement: bearer_header (the key goes in Authorization: Bearer <key>)
The API also requires the date header Cartesia-Version: 2026-08-14 on every request; the CLI sends it for you.
Status check: bin/cartesia.py auth

Operating Rules

TTS synthesis is credit-metered. Every tts call spends Cartesia credits, so synthesize only what the user asked for and batch long scripts into as few calls as possible.
Voice creation and voice cloning are confirmation-gated: confirm with the user before creating or cloning any voice. This draft CLI does not ship a clone command; use the Cartesia dashboard or SDK for cloning.
Never use API keys in client-side code. The connector only ever handles the surrogate, never the raw key.
The CLI pins Cartesia-Version: 2026-08-14. Treat a version bump like a dependency upgrade and do not change the date casually.

Files

SKILL.md
bin/cartesia.py

Maturity

🧪 Draft: written from Cartesia's public API docs with header and paths cross-checked against official docs at build time; not yet live-tested end-to-end. Voice create/clone and pronunciation dictionaries are not yet in the CLI.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

bin/cartesia.py6 KB

Frequently asked questions

What does the Cartesia AI skill do?

Cartesia text-to-speech: synthesize speech audio and browse voices. Trigger phrases: cartesia, text to speech, TTS, synthesize voice, voiceover.

Why use Cartesia on TypingMind?

Because you install it once and use it with any model. Cartesia is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cartesia in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/cartesia. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cartesia?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cartesia?

As many as you like. As long as a model supports skills, you can use Cartesia with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cartesia AI skill free?

Yes. It is published on GitHub by Anil-matcha under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Cartesia

Purpose

Tooling

Auth

Operating Rules

Files

Maturity

Bundled files

Frequently asked questions

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