According to AlphaMoat, as of 2026-09, Scene Video Generator has 1,821 downloads and 4 stars — ranked #4,564 of 5,078 AI skills overall, and #458 of 512 in Design & Media.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 26 | 1.1K | 3 | - |
| SkillHub ↗ | 329 | 1.8K | 4 | — |
Platforms count differently and update at different times.
Select a configured video backend, set prompts, camera, style and motion parameters, then await asynchronous rendering for clips that can be stitched later. Avatar narration is handled separately. Prompts and references go to an external provider; complex motion and multi-person scenes can be inconsistent, so test a small batch and inspect results first.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 1.8K | — | 4 |
| 2026-08 | 1.5K | +6.6% | 4 |
| 2026-07 | 1.4K | +13.2% | 4 |
| 2026-06 | 1.3K | +7.6% | 3 |
| 2026-05 | 1.2K | — | 3 |
| 2026-03 | 616 | — | 2 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: scene-video-generator description: 根据分镜描述生成视频片段。支持多个 AI 视频生成后端:即梦 Jimeng、Kling 可灵、Runway、Pika、Vidu。输入场景描述+可选的数字人口播,输出视频片段。触发词:AI视频、生成视频、分镜视频、scene video、text to video、图生视频。 --- # 分镜视频生成 ## 功能 将分镜描述转换为 **AI 场景视频**(不含数字人):
- 纯 AI 生成场景 - 图生视频(从参考图扩展) ## ⚠️ 与 digital-avatar 的分工 | 需求 | 用哪个 skill | |------|-------------| | 数字人口播视频 | → `digital-avatar` | | 纯 AI 场景(无人/路人/产品展示等)| → `scene-video-generator`(本 skill)| **数字人相关的视频生成请用 `digital-avatar` skill,确保后端一致性。** ## 支持的后端 | 后端 | 特点 | 时长限制 | 适用场景 | |------|------|----------|----------| | Jimeng 即梦 | 国内,快,中文理解好 | 5s | 国内平台 | | Kling 可灵 | 国内,质量高 | 5-10s | 高质量需求 | | Runway | 国际,Gen-3 质量顶级 | 5-10s | 高端制作 | | Pika | 快速,风格化强 | 3-5s | 风格化内容 | | Vidu | 国内,性价比高 | 4-8s | 一般需求 | 默认使用 Jimeng(如已配置)。 ## 输入参数 | 参数 | 必填 | 说明 | |------|------|------| | backend | - | jimeng / kling / runway / pika / vidu | | prompt | ✓ | 场景描述(英文效果更好)| | duration | - | 目标时长(秒)| | aspect_ratio | - | 16:9 / 9:16 / 1:1 | | reference_image | - | 参考图(图生视频)| | style | - | realistic / anime / cinematic | | motion | - | low / medium / high | | seed | - | 随机种子(复现用)| ## 输出格式 ```yaml video: id: "scene_001" backend: kling url: "https://..." duration: 5.0 resolution: "1920x1080" aspect_ratio: "16:9" prompt: "原始 prompt" seed: 12345 status: completed ``` ## 工作流程 ### 流程 A:纯 AI 生成 ``` 输入: prompt + 参数 ↓ 翻译/优化 prompt(如需要) ↓ 调用后端 API ↓ 等待渲染(30s-3min) ↓ 输出: 视频 URL ``` ### 流程 B:图生视频 ``` 输入: reference_image + prompt ↓ 上传参考图 ↓ 调用 image-to-video API ↓ 输出: 视频 URL ``` > 💡 **需要数字人口播?** 请使用 `digital-avatar` skill。 ## Prompt 优化技巧 ### 结构 ``` [主体] + [动作] + [场景] + [镜头] + [风格] ``` ### 示例 ``` 原始:女生在办公室看电脑 优化:A young professional woman sitting at a modern office desk, looking at computer screen with focused expression, soft natural lighting from window, medium shot, shallow depth of field, cinematic color grading ``` ### 镜头术语 | 中文 | 英文 | 说明 | |------|------|------| | 特写 | close-up | 脸部/细节 | | 中景 | medium shot | 半身 | | 全景 | wide shot | 全身+环境 | | 跟拍 | tracking shot | 跟随移动 | | 推镜 | dolly in | 推进 | | 拉镜 | dolly out | 拉远 | 详见 [references/prompt-guide.md](references/prompt-guide.md) ## 使用示例 ### 生成场景 ``` 用户:生成一个5秒的视频,内容是:一个人在咖啡厅用笔记本工作 执行: 1. 优化 prompt 2. 调用 Kling API 3. 等待渲染 4. 返回视频 URL ``` ### 批量生成分镜 ``` 用户:根据这个分镜列表生成视频 [附 YAML] 执行: 1. 解析分镜列表 2. 逐个生成(或并行) 3. 返回视频列表 ``` ## 与上下游对接 **上游输入**: - `video-script-generator` 的 scenes[].shot_description(非口播场景) **下游输出**: - `video-stitcher` 消费视频片段 **并行 skill**: - `digital-avatar` 负责口播场景视频 - 本 skill 负责 AI 场景视频 - 两者输出都汇入 `video-stitcher` ## 注意事项 1. 不同后端对 prompt 长度有限制(通常 500 字符内) 2. 复杂动作/多人场景效果不稳定 3. 建议先小批量测试再批量生成 4. 保存 seed 以便复现满意的结果 5. 渲染时间可能较长,使用异步处理
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.