القائمة
Answer multiple-choice questions about video content using embeddings
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
Multi-video corpus indexing and cross-video search
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
| name | kuavi-vqa |
| description | Answer multiple-choice questions about video content using embeddings |
| argument-hint | <question> -- <choice1> | <choice2> [| choice3] [| choice4] |
| disable-model-invocation | true |
Parse $ARGUMENTS:
-- is the question-- is a pipe-separated list of choicesExample: What color is the car? -- red | blue | green | black
Call kuavi_discriminative_vqa with:
question: the parsed question text (trimmed)candidates: list of parsed choices (each trimmed)Present the answer with confidence scores for each candidate.