Initial commit: skills library

- 70 skills with code and documentation
- Add .gitignore (ignore __pycache__, output/, temp/, venv/)
- Clean up test intermediates and caches

video-analysis/scripts/simple_transcribe.py

@@ -0,0 +1,43 @@
+import whisper
+import os
+from pathlib import Path
+
+# 视频文件路径
+video_dir = Path(r"D:\F\NewI\opencode\daily-workspace\temp")
+video_files = list(video_dir.glob("*.mp4"))
+
+if not video_files:
+    print("未找到mp4文件")
+    exit(1)
+
+video_file = video_files[0]
+print(f"找到视频文件: {video_file.name}")
+print(f"文件大小: {video_file.stat().st_size / 1024 / 1024:.2f} MB")
+
+# 使用Whisper转录
+print("\n加载Whisper模型...")
+model = whisper.load_model("base")  # 使用base模型，速度较快
+
+print("开始转录...")
+result = model.transcribe(str(video_file), language="zh")
+
+# 保存结果
+output_file = video_file.with_suffix(".txt")
+with open(output_file, "w", encoding="utf-8") as f:
+    f.write(result["text"])
+
+print(f"\n✅ 转录完成！保存到: {output_file.name}")
+print(f"转录文本长度: {len(result['text'])} 字符")
+
+# 显示前500字符预览
+print("\n=== 转录预览（前500字符）===")
+print(result["text"][:500] + "...")
+
+# 如果有分段信息，也保存
+if "segments" in result:
+    json_file = video_file.with_suffix(".json")
+    import json
+
+    with open(json_file, "w", encoding="utf-8") as f:
+        json.dump(result, f, ensure_ascii=False, indent=2)
+    print(f"详细分段信息保存到: {json_file.name}")