Skill: dlazyai/dlazy-video-scenes (version 1.1.1)

--- name: dlazy-video-scenes version: 1.1.1 description: Video analysis tool: uses ffmpeg to detect and split scenes, then performs scene-level video understanding and returns clip URLs with structured analysis. metadata: {"clawdbot":{"emoji":"🤖","requires":{"bins":["npm","npx"]},"install":"npm install -g @dlazy/cli@1.0.9","installAlternative":"npx @dlazy/cli@1.0.9","homepage":"https://github.com/dlazyai/cli","source":"https://github.com/dlazyai/cli","author":"dlazyai","license":"see-repo","npm":"https://www.npmjs.com/package/@dlazy/cli","configLocation":"~/.dlazy/config.json","apiEndpoints":["api.dlazy.com","files.dlazy.com"]},"openclaw":{"systemPrompt":"When invoking this skill, use dlazy video-scenes -h for help."}} --- # dlazy-video-scenes [English](./SKILL.md) · [中文](./SKILL-cn.md) Scene split tool: uses ffmpeg to detect and split a video into scene clips, returning only the clip URLs without video content understanding. ## Trigger Keywords - video-scenes ## Authentication All requests require a dLazy API key. The recommended way to authenticate is: ```bash dlazy login ``` This runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required. ### Alternative: Set the Key Manually If you already have an API key, you can save it directly: ```bash dlazy auth set YOUR_API_KEY ``` The CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\.dlazy\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable. ### Getting Your API Key Manually 1. Sign in or create an account at [dlazy.com](https://dlazy.com) 2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 3. Copy the key shown in the API Key section Each key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard. ## About & Provenance - **CLI source code**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli) - **Maintainer**: dlazyai - **npm package**: `@dlazy/cli` (pinned to `1.0.9` in this skill's install spec) - **Homepage**: [dlazy.com](https://dlazy.com) You can install on demand without persisting a global binary by running: ```bash npx @dlazy/cli@1.0.9 <command> ``` Or, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.0.9`). Review the GitHub source before installing. ## How It Works This skill is a thin client over the dLazy hosted API. When you invoke it: - Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference. - Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API. - Generated output URLs returned by the API are hosted on `files.dlazy.com`. This is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms. ## Usage **CRITICAL INSTRUCTION FOR AGENT**: Execute `dlazy video-scenes` to get the result. ```bash dlazy video-scenes -h Options: --video [video] Video (URL) [video: url or local path] --durationSeconds [durationSeconds] Duration (s) --dry-run Print payload + cost estimate without calling API --no-wait Return generateId immediately for async tasks --timeout <seconds> Max seconds to wait for async completion (default: "1800") -h, --help display help for command ``` > Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details. ## Output Format ```json { "ok": true, "result": { "tool": "video-scenes", "modelId": "video-scenes", "outputs": [ { "type": "text", "id": "o_xxxxxxxx", "text": "..." } ] } } ``` > Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll. ## Examples ```bash dlazy video-scenes --prompt 'prompt content' ``` ## Error Handling | Code | Error Type | Example Message | | ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ | | 401 | Unauthorized (No API Key) | `ok: false, code: "unauthorized", message: "API key is missing or invalid"` | | 501 | Missing required parameter | `error: required option '--prompt <prompt>' not specified` | | 502 | Local file read error | `Error: Image file/Video file not found: C:\path\to\your\file` | | 503 | API request failed (no balance) | `ok: false, code: "insufficient_balance"` | | 503 | API request failed (server error) | `HTTP status code error (500 server crash)` | | 504 | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example "Prompt violates safety policy"}` | > **AGENT CRITICAL INSTRUCTION**: > 1. If the execution result returns `code: "insufficient_balance"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits) > 2. If the execution result returns `code: "unauthorized"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task. ## Tips Visit https://dlazy.com for more information.

path: SKILL-cn.md
content: ---
name: dlazy-video-scenes
version: 1.1.1
description: Video analysis tool: uses ffmpeg to detect and split scenes, then performs scene-level video understanding and returns clip URLs with structured analysis.
metadata: {"clawdbot":{"emoji":"🤖","requires":{"bins":["npm","npx"]},"install":"npm install -g @dlazy/cli@1.0.9","installAlternative":"npx @dlazy/cli@1.0.9","homepage":"https://github.com/dlazyai/cli","source":"https://github.com/dlazyai/cli","author":"dlazyai","license":"see-repo","npm":"https://www.npmjs.com/package/@dlazy/cli","configLocation":"~/.dlazy/config.json","apiEndpoints":["api.dlazy.com","files.dlazy.com"]},"openclaw":{"systemPrompt":"当调用此技能时，可以使用 dlazy video-scenes -h 查看帮助信息。"}}
---

# dlazy-video-scenes

[English](./SKILL.md) · [中文](./SKILL-cn.md)


视频拆分分镜工具：使用 ffmpeg 进行场景检测与切分，仅返回按分镜切分后的视频片段 URL，不做视频内容理解。

## 触发关键词

- video-scenes

## 身份验证 (Authentication)

所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：

```bash
dlazy login
```

该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。

### 备选：手动设置 API Key

如果你已有 API key，也可以直接保存：

```bash
dlazy auth set YOUR_API_KEY
```

CLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\.dlazy\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。

### 手动获取 API Key

1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号
2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)
3. 复制 API Key 区域显示的密钥

每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。

## 关于与来源 (Provenance)

- **CLI 源代码**: [github.com/dlazyai/cli](https://github.com/dlazyai/cli)
- **维护者**: dlazyai
- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.0.9` 版本）
- **官网**: [dlazy.com](https://dlazy.com)

如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：

```bash
npx @dlazy/cli@1.0.9 <command>
```

如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.0.9`。安装前建议先到 GitHub 仓库审阅源码。

## 工作原理

此技能是 dLazy 托管 API 的轻量封装。调用时：

- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。
- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。
- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。

这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。

## 使用方法

**CRITICAL INSTRUCTION FOR AGENT**:
执行 `dlazy video-scenes` 命令获取结果。

```bash
dlazy video-scenes -h

Options:
  --video [video]                      视频链接 [video: url or local path]
  --durationSeconds [durationSeconds]  时长（秒）
  --dry-run                            Print payload + cost estimate without calling API
  --no-wait                            Return generateId immediately for async tasks
  --timeout <seconds>                  Max seconds to wait for async completion (default: "1800")
  -h, --help                           display help for command
```

> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.

## 输出格式

```json
{
  "ok": true,
  "result": {
    "tool": "video-scenes",
    "modelId": "video-scenes",
    "outputs": [
      {
        "type": "text",
        "id": "o_xxxxxxxx",
        "text": "..."
      }
    ]
  }
}
```

> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.

## 命令示例

```bash
dlazy video-scenes --prompt '提示词内容'
```

## 错误处理

| Code | 错误类型                         | 示例信息                                                                                                                 |
| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |
| 401  | 未授权 (API Key缺失或无效)       | `ok: false, code: "unauthorized", message: "API key is missing or invalid"`                                                              |
| 501  | 缺少必填参数                     | `error: required option '--prompt <prompt>' not specified`                                                               |
| 502  | 本地文件读取失败                 | `Error: Image file/Video file not found: C:\path\to\your\file`                                                           |
| 503  | API 请求失败（余额不足）         | `ok: false, code: "insufficient_balance"` |
| 503  | API 请求失败（服务端错误）       | `HTTP status code error (500 server crash)`                                                                              |
| 504  | 异步任务执行失败                 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 "Prompt violates safety policy"}`                             |

> **智能体关键指令**: 
> 1. 如果执行结果返回 `code: "insufficient_balance"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)
> 2. 如果执行结果返回 `code: "unauthorized"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set <key>` 保存，然后继续执行任务。

## Tips

Visit https://dlazy.com for more information.

Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)