Transcribe .ogg voice messages into text using the Groq Whisper API.
npx skills add https://github.com/qwwiwi/agentos-skills-public --skill groq-voice
Please help me install this Agent Skill. Skill: groq-voice Source: https://github.com/qwwiwi/agentos-skills-public/tree/main/skills/groq-voice Command: npx skills add https://github.com/qwwiwi/agentos-skills-public --skill groq-voice
It solves the problem of converting user voice messages into readable text so you can respond accurately without manually playing audio.
Send a voice message that includes the media:audio tag so the skill transcribes the attached .ogg file and then you can respond naturally to the spoken content.
High-intent search queries and answers about installing and using this skill.
Transcribe .ogg voice messages by extracting the audio file path from the media attachment line and running it through the Groq Whisper API. The skill converts spoken audio into a text transcript for downstream conversational responses.
Yes, audio to text transcription supports Russian voice messages. The skill uses Groq's Whisper transcription model to provide fast and accurate results for Russian and other spoken languages in .ogg files.
Automatic transcription triggers whenever a message contains a media audio attachment. The skill detects the media tag, extracts the .ogg file path, and processes the voice message to generate text for replying naturally.
Running Groq Whisper transcription requires an authorization Bearer key for the API. You provide the key, and the skill extracts the .ogg media attachment path to process the audio file and output text.
Yes, you can use this transcription for research note-taking. The skill converts spoken input from .ogg media attachments into readable text, fitting any chat workflow where users provide voice messages for documentation.
Your .ogg voice message may not transcribe if the media attachment tag is missing or the Groq authorization Bearer key is invalid. The skill requires extracting the exact .ogg file path from the media line to run Whisper transcription.
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