static-mad-analysis 是做什么的？
基于证据的 Codex 技能与插件，用于静态图像 MAD、漫画 MAD、AMV 及编辑叙事视频分析。
基于证据的 Codex 技能与插件，用于静态图像 MAD、漫画 MAD、AMV 及编辑叙事视频分析。
这是一个专为 AI 编码助手（如 Codex）设计的技能插件，专注于分析静态图像 MAD（音乐动画舞蹈）、漫画 MAD、AMV（动画音乐视频）以及编辑类叙事视频。它以“证据优先”为核心理念，意味着分析过程会优先从视频中提取具体的视觉、音频和编辑证据（如关键帧、剪辑点、音画同步标记等），然后基于这些证据进行结构化推理。该技能支持 Codex 平台，能够帮助开发者或视频分析师自动化解析视频内容的编辑模式、视觉节奏和叙事手法。其工作流程通常涉及视频拆帧、特征提取、时间轴标注以及生成 JSON 格式的分析报告，最终输出可被下游工具直接消费的结构化数据。
npx skills add Manuforest/static-mad-analysis基于证据的 Codex 技能与插件，用于静态图像 MAD、漫画 MAD、AMV 及编辑叙事视频分析。
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