An automated pipeline that converts English educational audio and video into structured, bilingual Chinese study notes.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install classroom-note-senseaudio-translator
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install classroom-note-senseaudio-translator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Classroom Note Translator is a powerful AI-driven utility designed for students and researchers who need to digest English-language academic content efficiently. By leveraging SenseAudio's advanced ASR technology, it transforms raw recordings from lectures, meetings, or YouTube videos into high-quality, structured Markdown notes. As a versatile part of the Openclaw Skills ecosystem, it handles the heavy lifting of transcription, translation, and summarization, allowing users to focus on learning rather than manual note-taking.
This skill is particularly valuable for bridging the language gap in international education. It doesn't just provide a transcript; it synthesizes content into a pedagogical format featuring summaries, key terms, and review questions. Whether you are dealing with fast-paced lectures or complex academic reports, this tool ensures that your knowledge base remains organized and actionable.
To get started with this skill, ensure you have the necessary environment variables and dependencies configured. This is a standard requirement for many Openclaw Skills involving external APIs.
export SENSEAUDIO_API_KEY="your_api_key_here"
export NOTION_TOKEN="your_notion_token"
export OPENAI_API_KEY="your_openai_key"
python3 "scripts/classroom_note_translator.py" \
--audio "path/to/lecture.mp3" \
--title "Intro to Physics" \
--output-dir "./notes" \
--language en \
--target-language zh
The skill organizes its output into three primary files to ensure comprehensive data coverage:
| File Suffix | Format | Description |
|---|---|---|
*_transcript.json |
JSON | Raw ASR response from SenseAudio including segment-level timestamps. |
*_summary.md |
Markdown | The primary study note containing summary, key points, terminology, and review questions. |
*_bilingual.txt |
Text | A side-by-side mapping of the original English text and the Chinese translation. |
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