feishu-voice-assistantSends voice messages (audio) to Feishu chats using Duby TTS.
Install via ClawdBot CLI:
clawdbot install autogame-17/feishu-voice-assistantGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgzUses known external API (expected, informational)
open.feishu.cnAudited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
Send voice alerts for urgent support tickets or service updates to customer service teams via Feishu. Enhances response time by delivering audible notifications that are hard to miss during busy shifts.
Distribute training materials or company-wide announcements as voice messages to employees in Feishu chats. Useful for remote teams to convey tone and emphasis that text alone cannot achieve.
Convert text-based communications, such as meeting summaries or documents, into audio messages sent to Feishu. Helps visually impaired employees access information more easily in workplace chats.
Generate voice alerts for system failures, security breaches, or inventory updates and send them to relevant teams on Feishu. Ensures critical information is promptly heard in noisy or fast-paced environments.
Offer this skill as part of a subscription service for businesses using Feishu, with tiered pricing based on usage volume or advanced voice features. Targets companies seeking to enhance internal communication with automated voice tools.
Provide basic voice messaging for free with limited usage, then charge for higher-quality voices, faster processing, or integration with other platforms. Appeals to small teams testing the tool before scaling up.
Sell custom development services to integrate this skill into specific workflows, such as CRM systems or IoT devices, for enterprises. Generates revenue through one-time project fees and ongoing support contracts.
💬 Integration Tip
Ensure DUBY_API_KEY and Feishu credentials are securely stored in environment variables and test with sample text before deployment to avoid API errors.
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 speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.
Text-to-speech via OpenAI Audio Speech API.