Meeting Notes Assistant
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Please follow the official installation guide at https://skillhub.cn/install/skillhub.md to install @user_cffec473/meeting-notes-assistant.
About this skill
The Specific Problem It Solves
Processing meeting recordings manually is time-consuming and poses privacy risks when using online transcription services. Sensitive discussions require secure handling without data leakage to the cloud. Additionally, creating structured meeting minutes—capturing agendas, action items, and key points—often involves tedious manual effort.
How the Skill Works
Core Capabilities:
- Offline Speech Transcription: Utilizes local Whisper models (e.g., base, small, large-v3) for on-device processing, ensuring data privacy without cloud uploads.
- Multi-language Support: Automatically detects languages such as Chinese, English, Japanese, and Korean.
- Structured Note Generation: Extracts time, topics, conclusions, action items, and keywords using AI-driven parsing with rule-based fallbacks.
- Document Export and Storage: Exports to Word/PDF formats, stores historical meetings in a local SQLite database, and supports template management and keyword search.
Key Workflow:
1. Provide an audio file (e.g., .mp3, .m4a) or document link.
2. The skill transcribes speech to text via Whisper, then generates structured notes using AI or rule-based methods.
3. Preview the notes and export as needed, such as to Word, PDF, or integrate with Feishu.
Applicability and Considerations
- Privacy and Compliance: Audio files are processed locally only; however, LLM parsing requires API calls, which may involve sending text externally—review the API provider's privacy policy. Prohibit use for unauthorized surveillance or illegal activities.
- Accuracy Dependencies: Whisper models offer high accuracy (e.g.,
large-v3at 95%+), but professional terms may be misrecognized; manual verification is recommended for critical documents. - Configuration Requirements: Requires setting up an LLM API key (e.g., OpenAI-compatible endpoints) for intelligent parsing; without it, rule-based parsing yields less detailed content.
- Usage Limits: Designed for lawful and compliant meeting scenarios; ensure proper authorization is obtained.
Use Cases
- After weekly team meetings, need to quickly extract action items and decisions from a one-hour recording, generating structured notes for distribution.
- Process multinational client meeting recordings, automatically recognize mixed Chinese-English content, generate multilingual summaries and export as PDF reports.
- Organize annual board meeting documents, batch transcribe multiple audio segments, and use professional templates to generate uniformly formatted minutes.
- In offline environments, transcribe sensitive project discussion recordings locally to ensure data privacy and generate to-do lists.
Best For
- Project Manager: Needs to regularly compile team meeting recordings, generate action items and decision logs, ensuring project progress transparency.
- Compliance Officer: Handles internal sensitive meeting audio, requires complete offline processing to adhere to privacy regulations.
- Event Organizer: Manages multiple seminar recordings, needs to batch process audio files, quickly generate professional minutes and export for distribution.
- Multinational Team Coordinator: Manages cross-language meeting records, automatically identifies Chinese-English content, generates bilingual minutes for international teams.
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