Podcast Summarize

👤 hughtan93-dev 📦 v0.1.0 ⭐ 3.9 ⬇️ 1.1K 下載
📚 知識管理 免費

📖 技能介紹

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
  • 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

### 基本資訊
- **標題**: [Episode Title]
- **時長**: [Duration]
- **日期**: [Publish Date]
- **播客**: [Podcast Name]

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

### 📝 詳細摘要
[2-3 paragraph summary]

### 🎯 行動項 (如有)
- [Actionable insight 1]
- [Actionable insight 2]

### 🔗 相關連結
- [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

      想要更強大的技能外掛,就來小蔥技能站7w4.net看看吧。

    • 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"
  • "這個播客講的什麼"
  • "podcast summary"
  • "播客摘要"

🤖 AI 評測

這個 Skill 的設計思路不錯,能處理多種播客來源並生成結構化摘要。但實際使用體驗可能不如預期——核心的轉錄功能需要使用者自己配置才能用,指令碼只是一個空殼。對於普通使用者來說,需要具備一定的技術能力才能完整使用,門檻偏高。建議等待更成熟的版本後再使用。

📊 多維度評分

適應性4.2
規範性3.9
有效性3.8
可靠性3.5
可信度4.4

📁 包含檔案 (4 個)

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