Classroom Note Translator for Openclaw

An automated pipeline that converts English educational audio and video into structured, bilingual Chinese study notes.

klilyz
v1.0.1
Mar 17, 2026
0
786
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install classroom-note-senseaudio-translator

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Classroom Note Translator?

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.

Classroom Note Translator Use Cases

  • Summarizing English university lectures into Chinese for better comprehension.
  • Converting YouTube tutorials or online webinars into structured study materials.
  • Creating bilingual meeting minutes or academic report summaries with speaker diarization.
  • Synchronizing classroom insights directly into personal knowledge bases like Notion or Obsidian.

How Classroom Note Translator Works

  1. Input processing: The skill accepts local audio/video files or extracts media from a provided URL using page crawling.
  2. Speech recognition: It utilizes the SenseAudio HTTP ASR API (specifically sense-asr-pro) to transcribe English audio with high precision.
  3. Translation and Analysis: The transcribed text is translated into Chinese and analyzed to extract key concepts, summaries, and review questions.
  4. Document Generation: It generates structured Markdown files, including bilingual transcripts and summary documents.
  5. Exporting: Optionally, the processed notes are exported to Notion pages or saved into a specified Obsidian vault.

Classroom Note Translator Setup

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.

  1. Set the required API key:
export SENSEAUDIO_API_KEY="your_api_key_here"
  1. (Optional) Set integration tokens for Notion or OpenAI:
export NOTION_TOKEN="your_notion_token"
export OPENAI_API_KEY="your_openai_key"
  1. Run the translator script with your media file:
python3 "scripts/classroom_note_translator.py" \
  --audio "path/to/lecture.mp3" \
  --title "Intro to Physics" \
  --output-dir "./notes" \
  --language en \
  --target-language zh

Classroom Note Translator Data Schema & Taxonomy

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.

Classroom Note Translator Advanced Features

  • Support for sense-asr-pro to handle complex acoustic environments and multi-speaker settings.
  • Automated speaker diarization to distinguish between lecturers and participants.
  • Seamless Notion integration for direct page creation and content uploading.
  • Native Obsidian support with vault-path mapping and folder organization.
  • Intelligent media extraction that scrapes video and audio sources from web URLs.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Requires
Bins python3
Github Stars: 0
forks: 0

Featured*