Podcast Intel

Automation skill for Podcast Intel.

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name: podcast-intel description: > Podcast intelligence engine. Transcribes, segments, summarizes, and scores podcast episodes from RSS feeds. Generates "worth your time" recommendations with cross-source deduplication and maintains a local consumption diary.

Use this skill when the user asks about podcasts, wants podcast recommendations, says "what podcasts should I listen to", "podcast briefing", "what's worth listening to", "podcast summary", "summarize this podcast", "podcast diary", "what did I listen to", or any request involving podcast content analysis.

Also activates for: "brief me on podcasts", "podcast recap", "new episodes", "what's new from [podcast name]", "is this episode worth it".

metadata: openclaw: emoji: "🎧" primaryEnv: "OPENAI_API_KEY" requires: bins: ["python3", "ffmpeg"] env: - OPENAI_API_KEY optionalEnv: - WHISPER_MODEL - PODCAST_INTEL_FEEDS - PODCAST_INTEL_INTERESTS

tools:

• name: podcast_briefing description: > Full intelligence pipeline: fetch new episodes from configured feeds, transcribe audio, segment by topic, analyze against user interests, and generate ranked "worth your time" recommendations. Appends to local consumption diary. command: "cd {baseDir} && python3 scripts/main.py" args:

  • name: hours type: number description: "Look back this many hours for new episodes (default: 168 = 7 days)" default: 168
  • name: top type: number description: "Return only the top N ranked recommendations (default: 10)" default: 10
  • name: output type: string description: "Output format: json, markdown, or tts (default: markdown)" default: markdown options: ["json", "markdown", "tts"]
  • name: dry_run type: boolean description: "Analyze episodes but don't write to diary" default: false category: "podcast" requiredEnv: ["OPENAI_API_KEY"]

• name: podcast_analyze description: > Analyze a specific podcast episode by URL. Transcribes, segments, scores relevance and novelty against your interests. command: "cd {baseDir} && python3 scripts/main.py" args:

  • name: episode_url type: string description: "Direct URL to podcast audio file or RSS feed entry URL" required: true
  • name: show_name type: string description: "Name of the podcast show (optional, for context)"
  • name: output type: string description: "Output format: json or markdown" default: markdown options: ["json", "markdown"] category: "podcast" requiredEnv: ["OPENAI_API_KEY"]

• name: podcast_diary description: > Display your podcast consumption diary — a structured log of episodes you've been briefed on, topics covered, and recommendations. command: "cd {baseDir} && python3 scripts/diary.py" args:

  • name: show type: boolean description: "Display diary entries" default: true
  • name: last type: number description: "Show entries from the last N days (default: 7)" default: 7
  • name: format type: string description: "Output format: json or markdown" default: markdown options: ["json", "markdown"] category: "podcast"

• name: podcast_recommend description: > Quick recommendations from already-transcribed episodes. No new transcription — uses cached transcripts and instant scoring. command: "cd {baseDir} && python3 scripts/main.py" args:

  • name: top type: number description: "Return only the top N ranked recommendations" default: 5
  • name: recommend_only type: boolean description: "Skip transcription, use cache only" default: true
  • name: output type: string description: "Output format: json or markdown" default: markdown options: ["json", "markdown"] category: "podcast" requiredEnv: ["OPENAI_API_KEY"]