One-click install
npx skills add https://github.com/Abhishekgit01/LumeIQ --skill asr-abhishekgit01
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ASR
Source: https://github.com/Abhishekgit01/LumeIQ/tree/main/skills/ASR
Command: npx skills add https://github.com/Abhishekgit01/LumeIQ --skill asr-abhishekgit01

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables the conversion of spoken audio into written text, making audio content searchable, analyzable, and accessible.

Core Features & Use Cases

  • Audio Transcription: Accurately transcribes audio files into text.
  • Base64 Support: Accepts audio data encoded in Base64.
  • Use Case: Transcribe a recorded customer service call to identify key issues and sentiment.

Quick Start

Use the ASR skill to transcribe the audio file named 'meeting_recording.wav'.

Frequently Asked Questions about ASR

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

FAQPage Schema
How do I transcribe audio to text from a recorded meeting file?

To transcribe audio to text, you use speech-to-text capabilities to process recorded meeting files and convert them into accurate written text. This skill supports various audio formats for direct transcription.

Can I use Base64 encoded audio for voice recognition processing?

Yes, Base64 encoded audio is fully supported for voice recognition processing. You can pass Base64 audio data directly to the transcription service to convert spoken audio into searchable text.

Do I need the z-ai-web-dev-sdk to run speech to text transcription?

Yes, you need the z-ai-web-dev-sdk installed to run speech to text transcription. The skill implements backend transcription services by requiring this dependency to process audio files.

What audio formats are supported for speech to text conversion?

The speech to text conversion supports various audio formats alongside Base64 encoded audio data. This allows you to process different types of audio files for accurate transcription results.

What is the best way to analyze customer service call recordings?

The best way to analyze customer service call recordings is to transcribe the audio to text first. This makes the audio content searchable and analyzable, allowing you to identify key issues and sentiment.