ASR

Transcribe spoken audio into written text using the z-ai-web-dev-sdk.

Updated May 11, 2026
One-click install
npx skills add https://github.com/lvhuanid/learnHelloAgents --skill asr-lvhuanid
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ASR
Source: https://github.com/lvhuanid/learnHelloAgents/tree/main/skills/ASR
Command: npx skills add https://github.com/lvhuanid/learnHelloAgents --skill asr-lvhuanid

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z-ai-web-dev-sdk, and includes scripts (resource) components.

What problem does it solve?

The ASR Skill unit addresses the challenge of converting spoken audio into written text, offering a seamless solution for transcription, voice-to-text input, and audio analysis.

Core Features & Use Cases

  • Speech-to-Text Conversion: Accurately transcribes audio files into text, supporting base64 encoded audio formats.
  • Use Case: Whether you need to create subtitles for videos, convert voicemail messages into text, or simply analyze speech data, the ASR Skill can be used for these purposes.

Quick Start

To transcribe an audio file using the ASR Skill, execute the following command: z-ai asr --file ./audio.wav

Frequently Asked Questions about ASR

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I transcribe an audio file into text?

To transcribe an audio file into text, you can execute the command `z-ai asr --file ./audio.wav` to process your audio data. This skill provides an interface for automatic speech recognition, transforming spoken language into written text.

Does the speech recognition skill support base64 encoded audio formats?

Yes, the speech recognition skill supports base64 encoded audio formats for transcription tasks. It utilizes the z-ai-web-dev-sdk to process these inputs and accurately convert spoken language into written text.

What is the best way to convert voicemail messages into text?

The best way to convert voicemail messages into text is using this automatic speech recognition skill to transcribe the audio files. It addresses the challenge of converting spoken audio into written text, offering a seamless solution for audio analysis.

Can I use this skill to create subtitles for videos?

Yes, you can use this skill to create subtitles for videos by transcribing the audio track into written text. It provides accurate speech-to-text conversion, supporting audio processing tasks requiring voice input functionality.

Do I need the z-ai-web-dev-sdk to perform voice-to-text conversion?

Yes, you need the z-ai-web-dev-sdk installed, as the skill utilizes it for audio handling and transcription accuracy. This dependency provides the underlying interface for automatic speech recognition and voice-to-text conversion.

When do I need automatic speech recognition for audio processing?

You need automatic speech recognition when you have tasks requiring speech transcription, voice input functionality, or audio analysis. It is essential for converting spoken language into written text for voicemails, subtitles, or speech data processing.