meeting minutes assistant

The problem

Manual meeting documentation is slow and prone to human error. Capturing every decision, action item, and deadline while participating in a discussion leads to incomplete records and missed follow-ups.

What it does

• Transcribes audio recordings into text using native speech recognition capabilities.
• Extracts structured data including attendees, agenda items, and consensus points.
• Identifies action items with assigned owners, deadlines, and priority levels.
• Compiles organized decisions and background context from complex discussions.
• Generates professional .docx documents using standardized formatting templates.

Frameworks & tools

Python with python-docx for document generation and custom scripts for audio preprocessing.

Why this beats prompting it yourself

Simple prompting often misses the rigorous data structure required for clean document formatting. This skill enforces a strict JSON schema between the analysis and generation phases, ensuring that action items and decision tables are perfectly rendered in the final .docx file every time.

Use cases

• Convert raw product requirement recordings into formal project documentation.
• Standardize board meeting minutes into searchable, professional archives.
• Extract task lists from messy team brainstorming transcripts for CRM entry.
• Generate distribution-ready reports for clients after weekly sync calls.

Known limitations

Recommended audio duration is under 1 hour per file. Clear recordings without significant background noise are required for high transcription accuracy.