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mimo-audio-understanding

Transcribe and analyze MP3, WAV, FLAC, M4A, and OGG audio files.

9|Updated Jul 3, 2026
Search Tags:#summarization#multimodal#transcription#audio#speech-to-text#mimo
One-click install
npx skills add https://github.com/TonyQ-AI/agents-workflow --skill mimo-audio-understanding
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mimo-audio-understanding
Source: https://github.com/TonyQ-AI/agents-workflow/tree/main/skills/mimo-audio-understanding
Command: npx skills add https://github.com/TonyQ-AI/agents-workflow --skill mimo-audio-understanding

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the challenge of processing and understanding audio content by providing automated transcription, detailed description, and concise summarization, bridging the gap between raw audio files and actionable text.

Core Features & Use Cases

  • Speech-to-Text Transcription: Convert meeting recordings, interviews, or podcasts into verbatim text with speaker identification.
  • Audio Content Analysis: Generate detailed descriptions of audio files, including tone, background sounds, and content type.
  • Intelligent Summarization: Extract key points, action items, and important details from long-form audio recordings.

Quick Start

Use the mimo-audio-understanding skill to transcribe the audio file located at path/to/meeting.mp3.

Frequently Asked Questions about mimo-audio-understanding

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

FAQPage Schema
How do I transcribe an MP3 meeting recording into verbatim text?▼

To transcribe an MP3 meeting recording, this Skill uses the Xiaomi MiMo multimodal model to convert speech-to-text with speaker identification, generating a verbatim transcript from local files, URLs, or Base64 strings.

Can I summarize key points and action items from a long podcast audio file?▼

You can summarize a long podcast audio file by leveraging the intelligent summarization feature, which analyzes the audio content to extract key points, action items, and important details into concise text.

Does the MiMo audio understanding model support M4A and FLAC file formats?▼

The MiMo audio understanding model supports M4A and FLAC file formats, processing various audio inputs alongside MP3, WAV, and OGG to provide transcription, description, and meeting summarization.

What is the best way to analyze tone and background sounds in an audio file?▼

The best way to analyze tone and background sounds is through the audio content analysis feature, which generates detailed descriptions of audio files including content type and ambient audio characteristics.

Do I need API credentials to use the MiMo multimodal model for transcription?▼

You need valid API credentials for the MiMo platform and the mcp__mimo-multimodal__understand_audio tool to execute transcription, content description, and summarization tasks on audio inputs.

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