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Generate engaging, viral-potential video titles from SRT subtitle files
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Basé sur la classification professionnelle SOC
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本地把音频/视频文件或在线视频 URL 转录成文字稿(txt/srt/vtt/json)。基于 Apple Silicon 上的 mlx_whisper,支持中英文等多语言、自动语言检测、模型规格选择。当用户想要"转录""生成字幕/文稿/transcript""把这段音频/视频转成文字""提取台词""做 SRT 字幕",或给出一个音视频文件/YouTube 等链接要文字内容时使用。
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| name | srt-title-generator |
| description | Generate engaging, viral-potential video titles from SRT subtitle files |
Generate engaging, viral-potential video titles from SRT subtitle files.
A skill that analyzes SRT subtitle/transcript files and generates compelling video titles optimized for YouTube, Xiaohongshu (小红书), and other platforms. Uses AI to identify key hooks, emotional triggers, and viral elements from the content.
Use this skill when users:
| Platform | Max Length | Style |
|---|---|---|
| YouTube | 60 chars | Hook + Keywords, 数字/问句/大胆声明 |
| 小红书 | 20 chars | 简短爆点 + emoji |
| Bilibili | 80 chars | 详细 + B站风格 |
| 抖音 | 55 chars | 悬念 + 口语化 |
When generating titles, use this analysis framework:
<scratchpad>
1. 主题识别: 从字幕中提取核心主题和关键点
2. 钩子发现: 找出最吸引人的角度或故事
3. 点击欲望: 什么会让观众想要点击
4. 草拟标题: 列出 3-5 个候选标题
5. 最优选择: 根据以下标准选出最佳:
- 吸引眼球、制造好奇
- 简洁 (YouTube ≤60字符)
- 包含相关关键词
- 准确反映内容
- 使用情绪触发词
- 避免标题党
</scratchpad>
中文:
English:
Generate output in this structure:
## 分析过程
### 核心主题
[从字幕提取的1-2句主题总结]
### 关键钩子
- 钩子1: [描述]
- 钩子2: [描述]
### 目标受众
[谁会对这个内容感兴趣]
---
## 推荐标题
### YouTube (≤60字符)
1. **首选**: [标题]
2. **备选**: [标题]
3. **备选**: [标题]
### 小红书 (≤20字符)
1. [标题 + emoji]
2. [标题 + emoji]
### Bilibili (≤80字符)
1. [标题]
2. [标题]
---
## 标题解析
[解释为什么首选标题最有效]
本期节目我们将进行一个Vibe Coding的极限挑战
你将看到我们如何用两句大白话就让Claude徒手写出一个下载播客的Skills
YouTube:
小红书:
Bilibili:
When user provides an SRT file for title generation:
Read the SRT file:
cat "path/to/file.srt"
Extract text content (remove timestamps):
Analyze and generate using the prompt framework above
Present titles in the structured format
v1.0 (Current)