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mimo-video-understanding

Analyze video content with scene description, summarization, and timestamped action detection.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the challenge of manually reviewing long or complex video files by providing automated, AI-driven analysis, summarization, and action detection.

Core Features & Use Cases

  • Automated Summarization: Quickly generate concise summaries of tutorials, lectures, or long-form video content.
  • Action Detection: Identify and timestamp specific events or actions within footage, ideal for sports analysis or screen recording reviews.
  • Detailed Scene Description: Extract context, objects, and text overlays from video frames to understand the setting and narrative.

Quick Start

Use the mimo-video-understanding skill to analyze the attached video file and provide a detailed summary of the key moments and main topic.

Frequently Asked Questions about mimo-video-understanding

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

FAQPage Schema
How do I automatically summarize and extract key actions from an MP4 video file?▼

To summarize and extract actions from an MP4 video, this skill uses the Xiaomi MiMo model to analyze visual and temporal data, generating concise summaries and timestamped action detection. It automates the review of long-form footage.

Can I analyze video content from a URL or Base64-encoded data instead of local files?▼

Yes, video content analysis supports local files, URLs, and Base64-encoded video data. This allows flexible processing of various video formats like MP4 and MOV without requiring local storage for every file.

Do I need a specific MCP server to process video scene descriptions and timestamps?▼

Yes, you need the mimo-multimodal MCP server integration to process video scene descriptions and timestamps. It leverages the Xiaomi MiMo model to extract context, objects, and text overlays from video frames.

What is automated action detection in video analysis and how does timestamping work?▼

Automated action detection identifies specific events within footage, such as in sports analysis or screen recordings, and records the exact time they occur. Timestamping links detected actions to precise moments for quick reference.

Does video understanding work for long-form tutorials and lectures to generate quick summaries?▼

Video understanding is designed for long-form content like tutorials and lectures, generating automated concise summaries. It extracts the main topic and key moments, reducing manual review time significantly.

Are there limitations when analyzing MOV or MP4 files for text overlays and scene context?▼

Analysis of MOV or MP4 files focuses on extracting scene context, objects, and text overlays from frames. It requires the mimo-multimodal MCP server to process the visual data, so server availability is a necessary condition.

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