agents-skill-podcastifierTurn incoming text (email/newsletter) into a short TTS podcast with chunking + ffmpeg concat.
Install via ClawdBot CLI:
clawdbot install cerbug45/agents-skill-podcastifierGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/cerbug45/agents-skill-podcastifierAudited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Content creators can automatically convert their email newsletters into audio podcasts, making content accessible to subscribers who prefer listening during commutes or multitasking. This expands reach and engagement without manual recording.
Companies can transform internal memos or updates into brief audio briefings for employees, enhancing accessibility and ensuring busy staff can stay informed hands-free. This is useful for remote teams or those in field roles.
Educators and e-learning platforms can turn text-based lessons or announcements into audio podcasts, catering to auditory learners and increasing accessibility for students with visual impairments or busy schedules.
Marketing agencies can repurpose promotional emails or blog posts into audio content for social media or podcast platforms, diversifying content formats and reaching audiences on audio-centric channels like Spotify.
Individuals can convert personal emails or news articles into audio files to listen to while exercising or driving, turning reading material into a hands-free experience for better time management.
Offer a monthly subscription where users pay to convert a set number of text inputs into podcasts, with tiered pricing based on usage limits or premium voices. This provides recurring revenue and scales with user demand.
License the skill to businesses for internal use, such as in corporate training or communications departments, with custom integration support and volume-based pricing. This targets enterprises seeking to streamline audio content creation.
Provide a free basic version with limited conversions or standard voices, and charge for advanced features like multiple voice options, higher audio quality, or batch processing. This attracts a broad user base and converts heavy users to paid plans.
💬 Integration Tip
Ensure Python3 and ffmpeg are installed on the system, and test with sample text files to verify TTS voice compatibility and output quality before deployment.
Scored Apr 19, 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).
Text-to-speech conversion using node-edge-tts npm package for generating audio from text. Supports multiple voices, languages, speed adjustment, pitch control, and subtitle generation. Use when: (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, driving, cooking). (3) User wants a specific voice, speed, pitch, or format for TTS output.
Local text-to-speech via sherpa-onnx (offline, no cloud)
Start voice calls via the OpenClaw voice-call plugin.