Convert text content into two-host podcast scripts and optional audio via TTS backends.
npx skills add https://github.com/xg-gh-25/SwarmAI --skill podcast-gen-xg-gh-25
Please help me install this Agent Skill. Skill: podcast-gen Source: https://github.com/xg-gh-25/SwarmAI/tree/main/backend/skills/s_podcast-gen Command: npx skills add https://github.com/xg-gh-25/SwarmAI --skill podcast-gen-xg-gh-25
Converts text content (articles, reports, documentation) into engaging two-host podcast scripts and synthesized audio, saving time and enabling scalable content production.
Provide your source content and let SwarmAI generate a podcast script and audio using available TTS backends.
High-intent search queries and answers about installing and using this skill.
You can automate podcast production from text by generating a structured two-host conversational script from your articles or reports, then synthesizing audio narration using available TTS backends.
Automating two-host podcast script generation involves transforming written reports into structured conversational dialogue, producing human-readable transcripts, and optionally synthesizing audio narration via TTS backends.
This podcast text-to-speech tool supports multiple TTS backends including OpenAI TTS, Edge TTS, MCP TTS, and macOS say, with fallback to script-only export when no TTS is available.
You can generate podcast transcripts without an audio TTS backend by using the script-only fallback mode, which produces human-readable transcripts and structured dialogue even when TTS synthesis is unavailable.
Automated podcast script generation from documentation requires source text input and depends on TTS backend availability for audio output, defaulting to script-only transcripts if no TTS service is configured.
hackeshackesConvert written text into a two-host conversational podcast MP3.
smilebank7Transcribes audio files into timestamped, human-readable text.
andyhuo520Generate HTML presentations from text, web pages, or audio/video content.
michaelboedingOrchestrate podcast production with Gemini TTS, Lyria music, and FFmpeg assembly.
