feishu-edge-tts-voice飞书语音消息发送技能。使用 Edge TTS(微软,免费无限次)生成语音并以飞书语音气泡形式发送。当用户要求用语音回复、发语音消息、TTS 朗读内容时触发。默认音色:云希(zh-CN-YunxiNeural,活泼阳光男声)。
Install via ClawdBot CLI:
clawdbot install dadaniya99/feishu-edge-tts-voiceGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
Automates sending voice replies to customer inquiries via Feishu, using TTS to convert text responses into natural-sounding audio. Ideal for support teams handling high volumes of messages, reducing typing effort and adding a personal touch with customizable voices like Yunxi for a friendly tone.
Facilitates distributing training materials or company announcements as voice messages in Feishu groups. Employees can listen to updates hands-free, improving accessibility and engagement, especially for remote teams or in noisy environments where reading text is inconvenient.
Enables organizations to provide audio versions of text-based communications in Feishu, assisting visually impaired users. By converting documents or messages to speech with voices like Yunyang for clarity, it enhances inclusivity and compliance with accessibility standards.
Used to send personalized voice promotions or alerts to customers via Feishu, leveraging TTS to create dynamic audio content. For example, retail businesses can announce flash sales with energetic voices like Yunjian to capture attention and drive engagement.
Supports educators in sharing lesson summaries or feedback as voice messages in Feishu classrooms. Students can listen to explanations on-the-go, enhancing learning flexibility and retention, with voices like Xiaoxiao for a soothing delivery in language or tutoring contexts.
Offer a premium version with advanced voice customization, analytics on message engagement, and priority support. Revenue is generated through monthly or annual subscriptions from businesses seeking to scale their voice communication capabilities beyond the free Edge TTS basics.
Provide custom integration services to embed this skill into existing Feishu workflows for enterprises. Revenue comes from one-time project fees or ongoing maintenance contracts, helping clients optimize voice messaging for specific use cases like customer support or internal comms.
Maintain the core skill as free using Edge TTS, while monetizing through the sale of premium voice packs or additional languages. Users can purchase specialized voices like Yunyang for professional settings, generating revenue from microtransactions or bulk licenses.
💬 Integration Tip
Ensure ffmpeg is installed for audio conversion and configure Feishu app credentials in openclaw.json to avoid API errors during voice message sending.
Scored Apr 18, 2026
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Local speech-to-text with the Whisper CLI (no API key).
ElevenLabs text-to-speech with mac-style say UX.
Local text-to-speech via sherpa-onnx (offline, no cloud)
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>").
Transcribe audio files to text using local Whisper (Docker). Use when receiving voice messages, audio files (.mp3, .m4a, .ogg, .wav, .webm), or when asked to transcribe audio content.