Podcast Intel

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"]