Speech Rough Cut Skill
Documentsspeech_rough_cut_skillSpeech Rough Cut Skill is an Agent Skill for documents published in the FireRedTeam/FireRed-OpenStoryline repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
【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.
QUICK START
How to use this skill
Bring this guide into your coding agent with a prompt tailored to the tool you use.
- Open your project in Codex.
- Copy and paste the prompt below.
- Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/FireRedTeam/FireRed-OpenStoryline/blob/HEAD/.storyline/skills/speech_rough_cut_skill/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/speech-rough-cut-skill, but wait for my approval before writing files or running scripts.
Copying this prompt does not install or run the skill. Review third-party files before use.
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：
- 读取视频素材；
- 执行split_shots节点但是使用“skip”参数跳过；
- 使用asr节点完成文字的识别和文字时间戳打标；
- 再用speech_rough_cut节点实现视频粗剪切分；
- 推荐花字，不需要配音、背景音乐、转场、文案生成；
- 生成时间线：is_speech_rough_cut=True；
- 渲染：保留素材原声。
注意事项 (Notes)
- 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。
- 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。