Speech Skill

Community

zeenie-ai

speech-skill

Convert text to spoken audio and transcribe audio to text, across multiple speech providers (OpenAI, ElevenLabs, Deepgram, Groq, Sarvam AI).

Overview

Publisher	zeenie-ai
Repository	`OpenCompany`
Skill name	`speech-skill`
Stars	912
Forks	137
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by zeenie-ai on GitHub. Read the source before you install it.

Installation

Install the Speech Skill 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.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/zeenie-ai/OpenCompany/tree/main/server/skills/language_agent/speech-skill

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/zeenie-ai/OpenCompany.git /tmp/OpenCompany
mkdir -p .claude/skills
cp -r /tmp/OpenCompany/server/skills/language_agent/speech-skill .claude/skills/speech-skill

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

Use it in TypingMind

Enable Speech Skill 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 Speech Skill 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 Speech Skill 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.

Speech Skill

Two tools, several providers behind each. Pick the provider that fits the job rather than defaulting to one.

How It Works

Connect the Text to Speech and/or Speech to Text nodes to the agent's input-tools handle. Each node has a provider parameter, and the credential for the chosen provider must be configured in the Credentials modal.

Audio never travels as data. Synthesis writes a file into the workflow workspace and returns a reference to it; transcription accepts a path or a reference produced upstream. So Text to Speech can be wired straight into Speech to Text, and neither tool ever puts audio bytes into the conversation.

text_to_speech

Field	Type	Required	Description
text	string	Yes	The text to speak
provider	enum	No	`openai` (default), `elevenlabs`, `sarvam`
tts_model	string	No	Provider model id; blank uses the provider default
voice	string	No	Voice id; blank uses the provider default
language	string	No	Locale code. Required for Sarvam (e.g. `hi-IN`); auto-detected elsewhere
speed	number	No	Playback rate. Clamped to whatever the provider allows
output_format	string	No	Audio format; blank uses the provider default
provider_options	object	No	Vendor-specific extras, passed through untouched

Returns audio — a reference carrying path, url, duration_seconds and mime_type — plus files and chunk_count.

When several clips come back, they are separate playable files, not parts of one stream. Each carries its own container header, so concatenating them produces audio that plays only the first chunk.

Choosing a provider

openai — solid general-purpose quality, 13 voices, inexpensive. Put instructions in provider_options to steer tone, but note it works only on gpt-4o-mini-tts and is ignored on tts-1.
elevenlabs — the most natural and controllable. Requires an explicit voice; there is no account-wide default. stability, similarity_boost, style and use_speaker_boost go in provider_options.
sarvam — Indian languages: 11 locales, 37 voices on bulbul:v3. language is required. pitch / loudness work on bulbul:v2 only and temperature on bulbul:v3 only; the wrong one for the model is dropped rather than sent.

speech_to_text

Field	Type	Required	Description
audio_file	string / reference	Yes	Workspace path, or a reference from an upstream node
provider	enum	No	`openai` (default), `deepgram`, `groq`, `sarvam`
stt_model	string	No	Provider model id; blank uses the provider default
language	string	No	Language hint; blank auto-detects
translate	boolean	No	Translate to English instead of transcribing in-language
diarize	boolean	No	Label speakers, where supported
timestamps	boolean	No	Per-word timing, where supported
provider_options	object	No	Vendor-specific extras, passed through untouched

Returns transcript, language, duration_seconds, and — when asked for and supported — words and segments.

Choosing a provider

openai — reliable default. Word timestamps require whisper-1; the gpt-4o-transcribe models return plain JSON only, so a timestamp request is quietly downgraded rather than failing.
deepgram — best for long recordings, diarization and keyword boosting. Billed per minute.
groq — fastest and cheapest in bulk, but it bills a 10-second minimum per request, so many tiny clips cost more than their duration suggests. whisper-large-v3-turbo cannot translate; use whisper-large-v3 when translate is set.
sarvam — Indian languages. Timestamps and diarization are unavailable on its synchronous endpoint and come back empty.

When to Use

Narration, voiceovers, or "read this out"
Working out what was said in a recording
A voice loop: transcribe, reason over the text, synthesize a reply

When NOT to Use

Real-time or streaming speech — these tools are batch only
Translating text you already have — use a translation tool
Very long recordings on a synchronous provider; split them first

Setup Requirements

One API key per provider you intend to use, added in the Credentials modal. Nothing is shared between them: an ElevenLabs key does not enable Deepgram. The openai, groq and sarvam keys are the same ones their chat models use, so if those are already configured, speech works with no extra setup.

Frequently asked questions

What does the Speech Skill AI skill do?

Convert text to spoken audio and transcribe audio to text, across multiple speech providers (OpenAI, ElevenLabs, Deepgram, Groq, Sarvam AI).

Why use Speech Skill on TypingMind?

Because you install it once and use it with any model. Speech Skill 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 Speech Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zeenie-ai/OpenCompany/tree/main/server/skills/language_agent/speech-skill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Speech Skill?

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 Speech Skill?

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

Is the Speech Skill AI skill free?

Yes. It is published on GitHub by zeenie-ai 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

Speech Skill

How It Works

text_to_speech

Choosing a provider

speech_to_text

Choosing a provider

When to Use

When NOT to Use

Setup Requirements

Frequently asked questions

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