Smart Meeting Assistant

Problem

Meeting notes often end up scattered: unclear context before the meeting, weak structure during it, and unresolved follow-ups afterward. The Smart Meeting Assistant turns meeting text or Tencent Meeting data into actionable artifacts: agendas, participant briefs, efficiency analysis, action items, retrospectives, weekly and monthly reports, and a decision board.

Core capabilities and workflow

• Dual modes: it first tries Tencent Meeting mode by calling tools such as convert_timestamp and get_meeting_by_code; if that fails, it degrades to standalone mode and accepts pasted text or .txt, .md, and .json files.
• Before the meeting: generate_agenda.py produces structured or quick agendas, while participant_brief.py summarizes participant background.
• During and after the meeting: analyze_efficiency.py checks speaking balance, topic coverage, and decision output; extract_todos.py separates explicit and ambiguous action items; generate_report.py produces retrospectives, weekly reports, and project materials.
• Cross-meeting tracking: cross_meeting_link.py follows prior decisions and repeated topics for questions like “what happened after last time?”

Limits

A single meeting should ideally be under 3 hours and 30 participants, and cross-meeting tracking under 10 meetings. Standalone mode cannot pull Tencent Meeting transcripts, participant history, or weekly and monthly report data. Action-item accuracy depends on wording clarity, so important follow-ups should be reviewed manually.