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Install in OpenClaw
/install 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。
README (SKILL.md)
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
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-avatarskill。
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 |
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
- 不同后端对 prompt 长度有限制（通常 500 字符内）
- 复杂动作/多人场景效果不稳定
- 建议先小批量测试再批量生成
- 保存 seed 以便复现满意的结果
- 渲染时间可能较长，使用异步处理
Usage Guidance
This skill will send your text prompts and any reference images to third‑party video-generation services (Jimeng, Kling, Runway, Pika, Vidu). Before installing or using it: (1) ensure you have and will supply API credentials for the chosen backend(s) and know where those credentials are stored; (2) review the privacy/terms of the backend(s) because media and prompts will be transmitted off your machine; (3) avoid sending sensitive personal data or private documents as prompts or reference images; (4) test with small/short jobs first to confirm behavior and cost; and (5) if you need stricter control over outbound network traffic, restrict which backend the agent may call or require manual invocation rather than autonomous runs.
Capability Analysis
Type: OpenClaw Skill
Name: scene-video-generator
Version: 1.0.0
The skill bundle is a legitimate tool for generating AI video clips using various backends (Jimeng, Kling, Runway, etc.). The documentation (SKILL.md, backend-setup.md, prompt-guide.md) provides clear instructions for prompt optimization and API configuration without any evidence of malicious intent, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
Name/description match the runtime instructions and the backend setup doc. The listed backends (Jimeng, Kling, Runway, Pika, Vidu) and their API keys/credentials are exactly what a video-generation skill would need. There are no unrelated requirements (no AWS, no SSH keys, no system binaries).
Instruction Scope
SKILL.md instructs the agent to optimize/translate prompts, upload reference images, and call third-party video-generation APIs — all within the stated purpose. It will transmit user prompts/images to external services, which is expected for this functionality but important for privacy. The SKILL.md does not instruct the agent to read unrelated files or secrets.
Install Mechanism
Instruction-only skill with no install spec and no code files — minimal surface area. Nothing is downloaded or written to disk by an installer in the repository.
Credentials
The repository's backend-setup.md documents API keys and access/secret keys for the supported backends, which are proportionate to the skill's operation. However, the skill metadata itself lists no required env vars or primary credential, so callers should know that backend API credentials are still necessary in practice (stored/configured externally).
Persistence & Privilege
always is false and there's no installation step that modifies other skills or system-wide configs. The skill can be invoked autonomously (platform default), which is normal for skills of this type; no elevated persistence is requested.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install scene-video-generator - After installation, invoke the skill by name or use
/scene-video-generator - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is Scene Video Generator?
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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 246 downloads so far.
How do I install Scene Video Generator?
Run "/install scene-video-generator" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Scene Video Generator free?
Yes, Scene Video Generator is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Scene Video Generator support?
Scene Video Generator is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Scene Video Generator?
It is built and maintained by Olivia_Pp (@oliviapp8); the current version is v1.0.0.
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