meeting-transcription

# Meeting Transcription This skill enables an AI agent to process meeting audio recordings into structured, actionable documents. The agent handles the full pipeline from raw audio input through speaker diarization, transcription, and intelligent summarization. The output includes a timestamped transcript with speaker labels, a concise summary of key discussion points, a list of decisions made, and clearly assigned action items with owners and deadlines. ## Workflow 1. **Ingest and validate the audio input.** Accept the meeting audio file and verify it is in a supported format: MP3, WAV, M4A, FLAC, OGG, or WebM. Check the file size, duration, and channel count (mono vs. stereo). If the audio is in a non-standard format, convert it to WAV 16kHz mono using FFmpeg or a similar preprocessing tool. Log the file metadata (duration, sample rate, codec) for downstream reference. 2. **Preprocess the audio for quality.** Apply noise reduction to suppress background hum, keyboard clicks, and room echo. Normalize audio levels across the recording so that quiet speakers are boosted and loud segments are attenuated. If the recording has multiple channels (e.g., a stereo podcast), split channels where each maps to a known speaker. Flag sections with very low signal-to-noise ratio as potentially unreliable. 3. **Perform speaker diarization.** Identify and label distinct speakers throughout the recording. Use voiceprint clustering to distinguish speakers even when they interrupt each oth...