القائمة
Analyze raw video content using Gemini to identify speakers, topics, key moments, and potential clip opportunities
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
Generate karaoke-style word-level timestamps by aligning script text to audio using Qwen3-ForcedAligner + jieba for Chinese word segmentation. Use when the user says 'align captions', 'karaoke timestamps', 'word timestamps', 'caption alignment', 'sync text to audio'.
Audio processing utilities - noise reduction, normalization, enhancement
Extract a video segment using FFmpeg with precise start/end times
Find naturally clean, coherent video segments worth keeping (selection over repair)
Text-guided audio source separation using SAM-Audio via mlx-audio
ASR with ~30ms timestamp precision using Qwen3-ASR + ForcedAligner
| name | analyze-video |
| description | Analyze raw video content using Gemini to identify speakers, topics, key moments, and potential clip opportunities |
Use this skill when you need to understand the content of a video file before creating clips.
Sends a video to Gemini 3 Pro for comprehensive analysis, extracting:
# Analyze a single video
python skills/analyze-video/analyze.py <video_path>
# Output goes to assets/outputs/analysis/<video_name>.json
{
"video_file": "path/to/video.mp4",
"duration_seconds": 120,
"speakers": [
{"name": "Speaker Name", "role": "Title/Organization", "first_seen": "00:05"}
],
"topics": ["Topic 1", "Topic 2"],
"notable_quotes": [
{"speaker": "Name", "quote": "...", "timestamp": "01:23", "context": "..."}
],
"visual_highlights": [
{"timestamp": "02:15", "description": "...", "type": "gesture|reveal|reaction"}
],
"clip_opportunities": [
{
"start": "01:20",
"end": "01:45",
"type": "quote|exchange|highlight",
"description": "...",
"score": 8
}
]
}