kuavi-analyze

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Full end-to-end video analysis with KUAVi

apicurius By apicurius schedule Updated 2/22/2026

name: kuavi-analyze description: Full end-to-end video analysis with KUAVi agent: video-analyst context: fork argument-hint: disable-model-invocation: true

KUAVi Analyze Video

Perform comprehensive video analysis: index, search, reason, and answer.

Instructions

  1. Parse $ARGUMENTS for: video path and question/task.
  2. Index: If the video is not yet indexed, call kuavi_index_video.
  3. Orient: Call kuavi_get_scene_list to understand the video structure.
  4. Search: Use the SEARCH-FIRST strategy to find relevant content:
    • Decompose the question into search sub-queries
    • Search across multiple fields (summary, action, visual, temporal)
    • Search transcript for spoken content
  5. Inspect: Extract frames for the most relevant segments.
  6. Reason: Synthesize findings from visual evidence and transcript.
  7. Verify: Cross-reference visual and audio evidence.
  8. Answer: Provide a clear, evidence-based answer.

Arguments

The first argument is the video path. Remaining text is the question.

Example: /kuavi-analyze /path/to/video.mp4 What is the main topic of this presentation?

Install via CLI
npx skills add https://github.com/apicurius/VideoRLM --skill kuavi-analyze
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