podcast-pipelineFull podcast production assistant covering three modes plus cross-episode tracking. (1) Interview Prep: deep guest research, tailored question set, backup qu...
Install via ClawdBot CLI:
clawdbot install chris-openclaw/podcast-pipelineGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 7, 2026
A solo podcaster has an upcoming guest interview. They use Mode 1 to generate a research brief, a set of 15-20 tailored questions, and a prep email to send to the guest, saving hours of manual research and structuring.
After recording an episode, a podcaster pastes the raw transcript. Mode 2 automatically produces SEO-friendly show notes, three social media posts, and a YouTube description with timestamps, streamlining the publishing workflow.
A marketing professional wants to record a solo episode on 'AI in Content Marketing'. Mode 3 generates 5 title options and a structured outline, helping them organize thoughts and produce a focused episode.
A communications team preparing for a podcast interview with a CEO uses Mode 1 to quickly compile a professional guest brief and question set, ensuring a polished and insightful conversation.
A podcast network repurposes episodes across platforms. Mode 2 provides ready-to-use social media posts and YouTube descriptions for multiple episodes, enabling consistent, timely promotion with minimal effort.
Offer tiered monthly subscriptions (e.g., Basic, Pro, Enterprise) granting access to the podcast pipeline skill for a set number of episodes per month. Revenue comes from recurring subscription fees.
Charge per episode processed—$X for interview prep, $Y for show notes, $Z for solo planning. Attracts occasional users who don't need a subscription.
License the skill to podcast production agencies that rebrand it as their own tool. Charge a flat monthly fee plus per-usage fees. Agencies integrate it into their client workflow.
💬 Integration Tip
Integrate with transcription APIs (e.g., AssemblyAI or Whisper) to automate transcript ingestion, and with social media scheduling tools (e.g., Buffer or Hootsuite) to directly post the generated content.
Scored May 7, 2026
Local speech-to-text with the Whisper CLI (no API key).
ElevenLabs text-to-speech with mac-style say UX.
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Any-to-any AI sub-agent — research, images, video, audio, music, podcasts, avatars, voice cloning, documents, spreadsheets, dashboards, 3D models, diagrams,...
Speak responses aloud on macOS using the built-in `say` command when user input indicates Voice Wake/voice recognition (for example, messages starting with "User talked via voice recognition on <device>").
High-quality voice synthesis with 18 personas, 32 languages, sound effects, batch processing, and voice design using ElevenLabs API.