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transcribe
Transcribe audio/voice files using Groq Whisper API
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Transcribe audio/voice files using Groq Whisper API
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Register bot commands with Telegram so they appear in the command menu
Rebuild miniclaw and restart the background service
Interactive setup wizard for new miniclaw users who just forked the repo
Summarise recent conversations across all threads into auto memory (MEMORY.md + topic files)
Analyse chat history to update voice and typing style guide (voice.md in auto memory)
Create a semver release with changelog, git tag, and GitHub release
| name | transcribe |
| description | Transcribe audio/voice files using Groq Whisper API |
| allowed-tools | Bash(curl *) |
Transcribe a voice or audio file using the Groq Whisper API, then clean up the transcript into polished text.
Find the audio file path from the conversation context. It will be in a [File attached: ...] or [Replied-to message has file attached: ...] line. If no audio file is present, tell the user.
Run this curl command, replacing <FILE_PATH> with the actual file path:
curl -s https://api.groq.com/openai/v1/audio/transcriptions \
-H "Authorization: Bearer $GROQ_API_KEY" \
-F "file=@<FILE_PATH>" \
-F "model=whisper-large-v3-turbo" \
-F "response_format=json" \
-F "language=en"
The response is JSON: {"text": "transcribed content here"}.
If the request fails, check that $GROQ_API_KEY is set and the file exists. Report the error to the user.
Treat the transcribed text as if the user had typed it as a normal text message. Respond to it naturally.