A robust speech-to-text integration that leverages Yandex SpeechKit to transcribe audio files for AI coding agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install yandex-speechkit-stt
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install yandex-speechkit-stt using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Yandex SpeechKit STT?
The Yandex SpeechKit STT skill provides seamless speech recognition capabilities for developers building voice-enabled applications. This Openclaw Skills component allows AI agents to process audio formats like OggOpus, WAV, and MP3, converting them into actionable text. It is specifically optimized for handling Telegram voice messages by managing the authentication lifecycle and audio constraints automatically.
By utilizing the Yandex Cloud infrastructure, this skill ensures high accuracy for Russian and English speech, making it an essential tool for developers creating localized bots or transcription services. It abstracts the complexity of JWT authentication and IAM token refreshing, providing a clean interface for both CLI and programmatic usage.
Yandex SpeechKit STT Use Cases
- Transcribing Telegram voice notes for AI agent processing
- Automating speech-to-text workflows in localized environments
- Integrating high-accuracy multi-language speech recognition into automation pipelines
- Developing voice-controlled CLI tools using Openclaw Skills
How Yandex SpeechKit STT Works
- The skill receives an audio file in OggOpus, WAV, or MP3 format.
- It automatically generates or refreshes a secure IAM token using the configured service account and private key.
- The audio is pre-processed and clipped to 28 seconds to comply with Yandex SpeechKit API synchronous recognition limits.
- The processed audio is transmitted to the Yandex Cloud API for transcription.
- The resulting text is returned to the agent or output directly to the terminal.
Yandex SpeechKit STT Setup
Prerequisites
Ensure you have ffmpeg and python3 installed on your system. These are required for audio processing and running the script.
Installation
Install the required Python dependencies:
pip install PyJWT cryptography requests
Configuration
Create a config.json file within the skill folder to store your Yandex Cloud credentials:
{
"id": "your-key-id",
"service_account_id": "your-service-account-id",
"folder_id": "your-folder-id",
"private_key": "-----BEGIN PRIVATE KEY-----\n..."
}
Yandex SpeechKit STT Data Schema & Taxonomy
| Element | Type | Description |
|---|---|---|
config.json |
JSON | Configuration file containing API keys and Folder IDs |
iam_token |
String | Temporary IAM token generated via JWT for API auth |
Audio Input |
File | Supports .ogg (Opus), .wav, and .mp3 formats |
Transcription |
String | The text output generated from the audio signal |
Yandex SpeechKit STT Advanced Features
- Automatic IAM token management via Service Account authentication
- Built-in audio duration management to stay within API limits
- Native support for OggOpus, the standard format for Telegram voice messages
- Modular Python API designed for deep integration with other Openclaw Skills
SKILL.md
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