analyze-videos-with-frame-extraction-and-audio-context-in-claude
SolidGive Claude Code a video perception layer that extracts frames, transcribes audio, and lets Claude answer questions about local videos or YouTube URLs.
Install
Quality Score: 83/100
Skill Content
Details
- Author
- agentskillexchange
- Repository
- agentskillexchange/skills
- Created
- 5 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
claude-real-video
Watch a video for the user. Use when the user shares a video URL (YouTube etc.) or local video file and wants it summarized, analyzed, or discussed — Claude can't ingest video directly, so this skill extracts scene-aware keyframes + transcript first, then reads those.
video-analysis
Understand what is actually in a video, fully locally and for free. Use this skill whenever the user wants to summarise, describe, transcribe, caption, chapter, or answer questions about a video or its audio — "what happens in this video", "summarise this screen recording", "transcribe this meeting", "what does the speaker say", "find the moment X happens", "read the text on screen", "turn this call into notes", "describe this clip for accessibility", "make chapters", "who says what". It samples timestamped frames with ffmpeg, transcribes speech with a local Whisper backend (whisper.cpp / whisperx / faster-whisper / openai-whisper), then reads the frames and transcript to answer — no cloud APIs, no keys, no per-minute cost, nothing leaves the machine. This is the understanding counterpart to ffmpeg-workbench, which transforms/encodes media (convert, compress, clip, GIF, burn subtitles). If the user wants to CHANGE a file rather than understand it, use ffmpeg-workbench instead.
vision-replay
Extract frames from video files using ffmpeg and analyze them with Claude's multimodal vision. Supports animation timing analysis, page load performance review, and user workflow progression. Automatically detects annotations drawn with the record-browser skill. Use when working with video files, screen recordings, animation validation, or visual analysis of UI behavior.