tts-responderConvierte texto a audio OGG usando Piper y envía respuestas habladas por Telegram cuando se activa el modo de voz.
Install via ClawdBot CLI:
clawdbot install jgf78/tts-responderGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/openclaw/skillsUses known external API (expected, informational)
api.telegram.orgAudited Apr 16, 2026 · audit v1.0
Generated Apr 7, 2026
Businesses can use this skill to provide automated voice responses in customer support chats on Telegram, converting text-based FAQs or responses into audio messages for accessibility. This enhances user experience for visually impaired customers or those preferring auditory information, reducing reliance on text-only support.
Educational platforms can integrate this skill to generate spoken examples in language learning bots on Telegram, allowing students to hear correct pronunciation of phrases or vocabulary. It supports multiple voice models for different languages, aiding in listening comprehension and accent practice.
News organizations can deploy this skill to convert text news updates into audio snippets sent via Telegram channels, making content accessible during commutes or for users with visual impairments. It enables real-time audio news delivery without manual recording, leveraging local TTS for cost efficiency.
Healthcare providers can use this skill to send medication or appointment reminders as audio messages on Telegram, improving adherence for patients who may struggle with text notifications. The local processing ensures data privacy and reliability, with customizable voice options for clarity.
Entertainment companies can enhance chatbot interactions on Telegram by adding voice responses for storytelling, games, or interactive narratives, creating immersive audio experiences. This skill allows dynamic generation of spoken content based on user inputs, engaging audiences in new ways.
Offer a basic version of the TTS responder for free on Telegram, with premium features like advanced voice models, higher audio quality, or priority support available via subscription. Revenue is generated through monthly or annual plans, targeting small businesses and individual developers.
License the skill's technology to enterprises for integration into their own customer-facing platforms, such as call centers or mobile apps, with customization options for voice and branding. Revenue comes from one-time licensing fees or ongoing maintenance contracts, focusing on large organizations.
Provide an API that allows developers to access the TTS functionality programmatically, charging per request or based on usage tiers for audio generation and delivery. This model scales with user demand, appealing to tech startups and app developers needing flexible voice solutions.
💬 Integration Tip
Ensure all required binaries (piper, ffmpeg, sox) are installed and configured correctly on the server, and test voice models locally to verify audio 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).
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.