Podcast Summarize

👤 hughtan93-dev 📦 v0.1.0 ⭐ 3.9 ⬇️ 1.1K 下载
📚 知识管理 免费

📖 技能介绍

Podcast Summarize

Transform podcast episodes into structured, actionable summaries.

When to Use

  • User wants podcast episode key points
  • User needs to quickly review podcast content

    小葱技能有更好的技能skills插件。

  • User prefers reading over listening
  • User wants to extract actionable insights from podcasts
  • User shares podcast and wants a summary accompany

Supported Inputs

  1. Audio file path - Local MP3, M4A, WAV files
  2. Audio URL - Direct link to audio file
  3. YouTube video - Podcast on YouTube
  4. RSS feed URL - Podcast RSS feed
  5. Podcast episode URL - Link to episode on podcast platforms

Summary Format

Provide summaries in this structure:

## 🎙️ 播客摘要

### 基本信息
- **标题**: [Episode Title]
- **时长**: [Duration]
- **日期**: [Publish Date]
- **播客**: [Podcast Name]

### 💡 核心要点 (3-5条)
1. [Key point 1]
2. [Key point 2]
3. ...

### 📝 详细摘要
[2-3 paragraph summary]

### 🎯 行动项 (如有)
- [Actionable insight 1]
- [Actionable insight 2]

### 🔗 相关链接
- [Mentioned resources]

Process

  1. Audio Extraction

    • For YouTube: Use yt-dlp to extract audio
    • For local files: Verify format and duration
    • For URLs: Download if needed
  2. Transcription

    • Use Whisper (local or API) for transcription
    • Support multiple languages
    • Handle long audio (chunk if needed)
  3. Summarization

    • Extract key themes
    • Identify actionable insights
    • Note timestamps for important sections
    • Highlight guest/host insights

Tips

  • Ask user preference: Brief (3 bullets) vs Detailed (full summary)
  • Offer to extract specific segments if user has timestamps
  • Provide follow-up questions based on content
  • Suggest related podcasts if available

Example Triggers

  • "summarize this podcast"
  • "这个播客讲的什么"
  • "podcast summary"
  • "播客摘要"

🤖 AI 评测

这个 Skill 的设计思路不错,能处理多种播客来源并生成结构化摘要。但实际使用体验可能不如预期——核心的转录功能需要用户自己配置才能用,脚本只是一个空壳。对于普通用户来说,需要具备一定的技术能力才能完整使用,门槛偏高。建议等待更成熟的版本后再使用。

📊 多维度评分

适应性4.2
规范性3.9
有效性3.8
可靠性3.5
可信度4.4

📁 包含文件 (4 个)

📄 SKILL.md 2.1 KB
📄 _meta.json 136 B
📄 references/technical.md 1.1 KB
📄 scripts/transcribe.sh 816 B