ad-compliance-reviewer
Review ads and campaign setup for policy compliance on Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic.
Professional AI video generation with cinematic prompt optimization, auto-detection of optimal generation backends (ComfyUI/LumaAI/Runway/Replicate/DALL-E), and multi-platform publishing to Chinese social platforms (Weibo, Xiaohongshu, Douyin). Analyzes camera language, character dynamics, hit-impact feel, facial expressions, and mecha motion. Beta stage - not for production use.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install aaalenwow/ai-video-proInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
This skill generates professional AI videos with cinematic-quality prompt engineering. It transforms casual user descriptions into film-industry-grade prompts, auto-detects the best available video generation backend, and supports publishing to Chinese social platforms (Weibo, Xiaohongshu, Douyin).
⚠️ BETA 测试阶段 — 本技能包正在测试中,请勿用于生产环境。
用户提供视频概念、场景描述或创意简报,本技能将优化提示词、选择最佳生成方案、生产视频,并可选择发布到多个平台。
当用户描述想要创建的视频时,在调用任何视频生成 API 之前,必须先执行以下影视级分析流程:
将用户描述拆解为结构化的影视元素:
对于涉及角色的场景,必须明确建模以下要素:
在最终确定提示词之前,主动检查并向用户询问缺失的关键元素:
必须询问(如未指定):
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
This skill generates professional AI videos with cinematic-quality prompt engineering. It transforms casual user descriptions into film-industry-grade prompts, auto-detects the best available video generation backend, and supports publishing to Chinese social platforms (Weibo, Xiaohongshu, Douyin). **⚠️ BETA 测试阶段** — 本技能包正在测试中,请勿用于生产环境。 用户提供视频概念、场景描述或创意简报,本技能将优化提示词、选择最佳生成方案、生产视频,并可选择发布到多个平台。 --- ## Phase 1: 镜头语言提示词优化引擎 当用户描述想要创建的视频时,在调用任何视频生成 API 之前,必须先执行以下影视级分析流程: ### 1.1 场景分解 将用户描述拆解为结构化的影视元素: - **镜头类型 (Shot Type)**: 特写(ECU)、近景(CU)、中景(MS)、全景(FS)、远景(WS)、大远景(EWS)、鸟瞰、仰拍、荷兰角、过肩镜头 - **运镜方式 (Camera Movement)**: 固定、横摇(Pan)、纵摇(Tilt)、推轨(Dolly)、跟拍(Tracking)、摇臂(Crane)、手持、斯坦尼康、甩镜(Whip Pan)、变焦拉伸(Rack Focus) - **灯光设计 (Lighting)**: 主光、补光、轮廓光、伦勃朗光、蝴蝶光、劈裂光、剪影、明暗对比、黄金时刻、霓虹光、体积光 - **色彩分级 (Color Grading)**: 青橙对比、去饱和、高对比、柔和色调、单色、暖色调、冷色调、胶片模拟 - **时间控制 (Temporal)**: 慢动作、延时摄影、正常速度、变速、定格 ### 1.2 角色动态分析 对于涉及角色的场景,必须明确建模以下要素: - **空间关系**: 角色相对位置、距离、朝向 - **动作动态**: 冲击力、动量、加速度(对战斗/动作场景至关重要) - **打击感 (Hit/Impact Feel)**: - 打击的重量感和力度反馈 - 反应时间和节奏感 - 冲击形变效果(身体弯曲、衣物飘动) - 粒子效果(火花、碎片、冲击波) - 画面震动等同效果 - **面部表情渐变**: 镜头时间内的微表情序列变化(如:惊讶 → 坚定 → 胜利) - **身体语言**: 姿态转换、手势弧线、重心转移 - **机甲/机器人运动**: 关节铰接运动、液压运动、质量惯性、变形序列 ### 1.3 缺失元素检测 在最终确定提示词之前,主动检查并向用户询问缺失的关键元素: **必须询问(如未指定):** - 画面比例?(16:9 横屏, 9:16 竖屏适用于抖音, 1:1 方形适用于小红书) - 目标时长?(3秒/5秒/10秒,取决于生成后端) - 视觉风格?(写实、动漫、3D渲染...
Review ads and campaign setup for policy compliance on Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic.
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Complete SEO content creation system for AI agents. Research keywords, analyze competitors, write optimized articles, and track rankings — all through natural conversation. No APIs required.