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claude-video — What is it?

The bradautomates/claude-video project enables video analysis and interaction through Claude, an AI agent, providing capabilities for content analysis, bug diagnosis, and video summarization.

⭐ 7,348 Stars 🍴 816 Forks Python MIT Author: bradautomates
Source: README View on GitHub →

Why it matters

This project is gaining attention due to its innovative approach to video analysis using AI, addressing the need for efficient video content processing and understanding. Its unique technical choices, such as scene-aware frame extraction and integration with Claude, set it apart in the market.

Source: Synthesis of README and project traits

Core Features

Video Analysis

The project allows for the analysis of videos by extracting frames, transcribing audio, and providing a timestamped transcript, enabling detailed examination of video content.

Source: README
Scene-aware Frame Extraction

It extracts frames based on scene changes, which can be adjusted for efficiency or fidelity, providing a balance between speed and detail.

Source: README
Integration with Claude

The project integrates with Claude, an AI agent, to provide detailed analysis and answers based on the video content, enhancing the user experience.

Source: README

Architecture

The architecture is modular, with separate components for video downloading, frame extraction, transcription, and interaction with Claude. It uses `yt-dlp` for video downloading, `ffmpeg` for frame extraction, and Whisper API for transcription. The project is structured into various directories for different components, such as `.agents`, `.skills`, and `hooks`.

Source: Code tree + dependency files

Project Knowledge Graph

Knowledge graph: project (center) + core features (inner hexagons) + key dependencies (outer chips) yt-dlp ffmpeg Whisper API Video Analysis Scene-aware Frame ExtractionScene-aware Frame E… Integration with ClaudeIntegration with Cl… claude-video Project Core feature Key dependency

Center: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.

Tech Stack

LanguagePythonFrameworkyt-dlp, ffmpeg, Whisper API
Key dependencies
yt-dlpffmpegWhisper API
Infrastructure / Deployment
Not specified, but likely to be a local or cloud-based Python environment
Source: Dependency files + code tree

Quick Start

To install, use Claude Code with `/plugin marketplace add bradautomates/claude-video` followed by `/plugin install watch@claude-video`. Alternatively, use `npx skills add bradautomates/claude-video -g` for global installation. Manual installation involves cloning the repository and symlinking the `skills/watch` directory into the host's skills directory.
Source: README Installation/Quick Start

Use Cases

The project is suitable for developers, content analysts, and anyone needing to analyze video content efficiently. It is useful for diagnosing bugs from video recordings, summarizing long videos, analyzing competitors' content, and extracting insights from video data.

Source: README

Strengths & Limitations

Strengths

  • Strength 1: Efficient video analysis with AI integration
  • Strength 2: Flexible frame extraction options
  • Strength 3: User-friendly installation and usage

Limitations

  • Limitation 1: May require significant computational resources for high-resolution video processing
  • Limitation 2: Limited documentation on specific use cases and configurations
Source: Synthesis of README, code structure and dependencies

Latest Release

Latest version: v0.2.0 (2026-07-01). Main changes include updates to the project's functionality and improvements in integration with Claude.

Source: GitHub Releases

Verdict

The bradautomates/claude-video project is a promising tool for anyone needing to analyze video content efficiently and interact with it using AI. Its integration with Claude and flexible frame extraction options make it a valuable asset for developers and content analysts, though it may require significant computational resources and more detailed documentation.

Frequently Asked Questions

What is claude-video?

The bradautomates/claude-video project enables video analysis and interaction through Claude, an AI agent, providing capabilities for content analysis, bug diagnosis, and video summarization.

What are the main features of claude-video?

claude-video's core features include: Video Analysis, Scene-aware Frame Extraction, Integration with Claude.

Why is claude-video trending?

This project is gaining attention due to its innovative approach to video analysis using AI, addressing the need for efficient video content processing and understanding.

What is claude-video used for?

The project is suitable for developers, content analysts, and anyone needing to analyze video content efficiently.

Transparency Notice
This page is auto-generated by AI (a large language model) from the following public materials: GitHub README, code tree, dependency files and release notes. Analyzed at: 2026-07-05 18:33. Quality score: 85/100.

Data sources: README, GitHub API, dependency files