القائمة
Multi-video corpus indexing and cross-video search
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Compositional pixel analysis patterns using kuavi_eval for counting, motion detection, change tracking, and visual comparison. Use when questions require precise measurements, object counting, or frame-by-frame comparison.
Full end-to-end video analysis with KUAVi
Deep multi-pass video analysis with parallel sharding and zoom
Multi-pass search with query refinement for hard-to-find video content. Use when initial search returns low-confidence results or no matches.
Index a video file for KUAVi analysis
Predictive video understanding — anticipate actions, predict future content, verify coherence, classify activities
| name | kuavi-corpus |
| description | Multi-video corpus indexing and cross-video search |
Index and search across multiple videos simultaneously.
Index multiple videos in parallel for cross-video search.
kuavi_index_corpus(video_paths=["/path/to/video1.mp4", "/path/to/video2.mp4"])
Semantic search across all videos in the corpus.
kuavi_search_corpus(query="person presenting slides", field="summary", top_k=10)
Get statistics about the current corpus.
kuavi_corpus_stats()
Returns: video count, total segments, total duration, action vocabulary.
kuavi_index_corpus(video_paths=[...]) to build the corpuskuavi_search_corpus(query="topic X") to find relevant segments across videoskuavi_corpus_stats() to get action vocabularykuavi_search_corpus(query="common action", field="action") across all videos