Video Analyzer

This Claude Skill acts as a bridge for LLM environments (such as Claude Projects) that do not natively support direct video uploads. It extracts audio transcripts, identifies key visual transitions, groups frames by color composition, and structures this data into AI-friendly and human-readable formats. The skill operates through a decoupled multi-stage pipeline designed to minimize API token usage while capturing critical structural and textual details: 1. Input Video Processing: The source file is ingested by the preprocessor script to decouple audio and visual data. 2. Audio Analysis: The extracted track is converted and transcribed locally using a high-efficiency Whisper engine. 3. Frame Selection: Visual frames are extracted at a scaled resolution and clustered based on color metrics to remove redundancy. 4. Multimodal Synthesis: Claude Vision analyzes the optimized frame selection to track character data and visual state. 5. Report Generation: A final compilation stage bundles metadata, timestamps, transcriptions, and visual observations into unified JSON and Markdown outputs.