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Akira-TL/akira-video-skills

为 Google Veo 视频生成编译和检查提示词;当 video-generation 需要使用 Veo 的 Text to Video、Image to Video、首尾帧、参考元素或同步声音能力时使用,并先核验具体 Google 使用入口与 model 的当前支持范围。

akira-video-skills 是什么?

akira-video-skills is a Claude Code agent skill that 为 Google Veo 视频生成编译和检查提示词;当 video-generation 需要使用 Veo 的 Text to Video、Image to Video、首尾帧、参考元素或同步声音能力时使用,并先核验具体 Google 使用入口与 model 的当前支持范围。.

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/Akira-TL/akira-video-skills/tree/HEAD/skills/in-progress/video-model-veo

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文档

Video Model Veo

This Skill is a Google Veo model adapter layer. Before starting, adhere to the unified model adapter contract of the video-generation dependency; this file only saves Veo-specific differences. It compiles existing SHOT.md and reused assets into executable prompts for the current Veo entry point; it does not own shot creativity, character facts, or product facts.

1. First Determine the Entry Point and Model

First, clarify the specific Google entry point the user is actually using (e.g., Vertex AI, Google's creative products, or another explicit usage entry) and record the specific model / mode.

Capabilities may differ between Google entry points and stable/preview models. When involving reference images, first/last frames, video extension, synchronized audio, resolution, duration, or input quantities, always verify against current official documentation in references/MODEL-GUIDE.md; do not infer based solely on the family name "Veo 3.1".

2. Basic Prompts

The general structure from the current Veo creation guide can be condensed into:

Cinematography language → Subject → Action → Environment / Context → Style and Atmosphere.

Write only what is truly needed for the current shot. Describe actions and performances as visible behaviors, not abstract psychological terms.

3. Image to Video

When an input image has already fixed the subject and starting composition, the prompt focuses on describing the motion, cinematography, and environmental changes that occur from this starting point.

If the current entry point supports first/last frames, treat the first frame / last frame as two explicit endpoints, and the prompt primarily describes how to move, transition, and how audio continues between them; do not let the prompt contradict the two endpoint images.

4. Reference Ingredients

Only use character, scene, object, or style reference images when the selected entry point and model currently explicitly support them. For each reference, specify its purpose, and do not let multiple assets compete for the same identity.

If the current official entry point does not support this mode, fall back to available Image to Video, first frame/last frame, or standard Text to Video paths; do not replace current facts with historical preview capabilities.

5. Audio

When the current mode explicitly supports audio generation, you may include dialogue, ambient sounds, specific sound effects, and the timing of audio in the prompt.

Audio requirements still follow the video script and shot, not adding unnecessary dialogue or sound effects to showcase model capabilities.

6. Return to video-generation

Output the selected entry point / model / mode, current prompt, input images or reference purposes, and duration / aspect ratio / resolution / audio options that the user needs to confirm in the interface; explicitly note when a capability differs by entry point.

Long-term prompts and one-shot generation packages are still managed by video-generation.

Completion Criteria

Do not conflate capabilities across different Google entry points; the prompt matches the current Veo mode; first/last frames, reference ingredients, and audio are only enabled when officially supported.

Individual skills in this repo

This repo contains 12 individual skills — each has its own dedicated page.

Akira-TL/akira-video-skills

为 Runway 当前视频模型编译和检查生成提示词;当 video-generation 需要使用 Runway(当前主线 Gen-4.5)的 Text to Video 或 Image to Video,并需要 Runway 专用动作、摄影和时序表达时使用。

Akira-TL/akira-video-skills

为 ByteDance / BytePlus Seedance 当前视频模型编译和检查提示词;当 video-generation 需要使用 Seedance 2.5 的参考素材、时间线、同步声音、视频编辑、延长或多镜头能力时使用。

Akira-TL/akira-video-skills

进入并持续推进一个 AI 视频制作项目;读取或建立 VIDEO.md,根据当前视频脚本、复用素材、镜头、生成结果和整片后期状态,按需路由到 canonical 视频专业 Skill,而不是把所有制作规则塞进一个总提示词。

Akira-TL/akira-video-skills

为品牌短片、产品植入剧情、广告或比赛作品建立产品事实与广告边界;当视频需要准确表达某个具体产品的官方功能、参数、结构、使用方式、品牌素材或产品与剧情关系时使用。

Akira-TL/akira-video-skills

设计并维护 AI 视频中跨镜头复用的角色声音、音色参考、对白声音要求与整片声音关系;当同一角色需要跨镜头保持声音一致,或需要规划语音参考、环境声、音效、音乐与画面的职责边界时使用。

Akira-TL/akira-video-skills

设计 AI 视频中的角色与场景视觉方案;当脚本只说明“需要一个什么样的人/场景”,但还没有形成可稳定生成的外形、服装、材质、色彩、空间、光线和视觉识别系统时使用。

Akira-TL/akira-video-skills

组织整片级剪辑、合成、全片声音和最终成片;当多个已采用镜头需要进入 Premiere Pro、After Effects、DaVinci Resolve 等后期工程,或需要整片字幕、Logo、音乐、混音、比例版本和最终导出时使用。

Akira-TL/akira-video-skills

为 AI 图片或视频生成准备可直接使用的提示词与一次性生成包,并在用户把生成结果带回项目后归档;当需要从正式视频脚本、复用素材和 SHOT.md 编译生成内容、选择参考素材、约定返回文件名或清理临时包时使用。

Akira-TL/akira-video-skills

规划、创建、整理和维护多个镜头会重复使用的视频复用素材;当需要人物/场景/道具/产品提示词、参考图、官方素材、身份与状态参考或其他可重复引用内容时使用。

Akira-TL/akira-video-skills

审核 AI 生成的人物/场景等复用素材或镜头生成结果,判断采用、修改提示词、重生成还是留给后期修复;当生成结果返回项目、需要检查身份/结构/连续性/动作/摄影/产品真实性或选择生成结果时使用。

Akira-TL/akira-video-skills

把小说、章节、故事梗概、品牌 brief 或其他上游内容转换成当前视频自己的脚本层;当需要编写或修订 SCRIPT.md、视频人物表演定义、场景定义、对白或镜头总表时使用。

Akira-TL/akira-video-skills

把 SHOTS.md 中的镜头总览展开成可直接制作的单镜头定义;当需要创建或修改 video/shots/<shot-id>/SHOT.md、镜头连续性、摄影、动作、表演、声音或镜头专属生产约束时使用。

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