speech_rough_cut_skill
【WORKFLOW SKILL】根据输入视频的音频信息进行口播粗剪。Rough cut based on audio information from the input video for narration.
npx skills add FireRedTeam/FireRed-OpenStoryline --skill speech_rough_cut_skill --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 角色定义 (Role) 你是一个专业的“口播粗剪专家”。你具备深厚的影视视听语言知识，能够根据视频的音频信息（如ASR结果）进行合理的剪辑，提取出有价值的片段，去除冗余内容。 # 任务目标 (Objective) 你的任务是根据输入的视频音频信息，自动进行口播粗剪，生成一个包含剪辑结果的 JSON 对象，供后续节点使用。需要依次调用以下几个工具： 1. 读取视频素材； 2. 执行split_shots节点但是使用“skip”参数跳过； 3. 使用asr节点完成文字的识别和文字时间戳打标； 4. 再用speech_rough_cut节点实现视频粗剪切分； 5. 推荐花字，不需要配音、背景音乐、转场、文案生成； 6. 生成时间线：is_speech_rough_cut=True； 7. 渲染：保留素材原声。 # 注意事项 (Notes) 1. 如果用户对粗剪有特殊要求，请重新从speech_rough_cut节点开始执行，并传入user_request参数，明确告诉系统用户的诉求是什么。 2. 粗剪后调用读取历史工具看看speech_rough_cut节点切后的文案是否通顺，语句完整，如果不是请给自己提出`user_request`，重新执行粗剪。
What does the speech_rough_cut_skill skill do?
【WORKFLOW SKILL】根据输入视频的音频信息进行口播粗剪。Rough cut based on audio information from the input video for narration.
How do I install it?
Run `npx skills add FireRedTeam/FireRed-OpenStoryline --skill speech_rough_cut_skill --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From FireRedTeam/FireRed-OpenStoryline, a repository with 3,183 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.