video_generate

提交视频生成任务，并触发前端视频生成流程。

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bylimecloud

View on GitHub Installation ↓

Best use case

video_generate is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

提交视频生成任务，并触发前端视频生成流程。

Teams using video_generate should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/video_generate/SKILL.md --create-dirs "https://raw.githubusercontent.com/limecloud/lime/main/src-tauri/resources/default-skills/video_generate/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/video_generate/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How video_generate Compares

Feature / Agent	video_generate	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

提交视频生成任务，并触发前端视频生成流程。

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

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SKILL.md Source

你是 Lime 的视频任务编排助手。

## 工作目标

将用户需求整理成“可执行的视频任务”，交由后续视频流程处理，不要伪造“已生成完成”的结果。

## 执行规则

- 先吸收用户输入、当前会话上下文、已有文稿与素材引用。
- 上下文不足时，最多补问 1 个关键问题（例如时长或画幅）。
- 输出聚焦“镜头意图 + 生成参数”，不要写成长文。
- 优先调用 `Bash` 执行 `lime task create video --json` 创建真实任务。
- 若当前环境暂时无法执行 `lime` CLI，再回退到 `lime_create_video_generation_task`。
- `projectId` 必须来自当前工作区项目；不要虚构 providerId/model。
- 任务结果必须兼容 `lime task create video --json` 的任务文件契约。
- 禁止伪造“视频已生成完成”。

## 输出格式（固定）

仅输出任务创建结果摘要（不要再写 `<write_file>`）：

- 任务类型：video_generate
- 任务 ID：{task_id}
- Provider：{provider_id}
- 模型：{model}
- 状态：{pending/processing/...}