Meeting Analyzer

Meeting Insights Analyzer

Originally contributed by maximcoding — enhanced and integrated by the claude-skills team.

Transform meeting transcripts into concrete, evidence-backed feedback on communication patterns, leadership behaviors, and interpersonal dynamics.

Core Workflow

1. Ingest & Inventory

Scan the target directory for transcript files (.txt, .md, .vtt, .srt, .docx, .json).

For each file:

• Extract meeting date from filename or content (expect YYYY-MM-DD prefix or embedded timestamps)
• Identify speaker labels — look for patterns like Speaker 1:, [John]:, John Smith 00:14:32, VTT/SRT cue formatting
• Detect the user's identity: ask if ambiguous, otherwise infer from the most frequent speaker or filename hints
• Log: filename, date, duration (from timestamps), participant count, word count

Print a brief inventory table so the user confirms scope before heavy analysis begins.

2. Normalize Transcripts

Different tools produce wildly different formats. Normalize everything into a common internal structure before analysis:

{ speaker: string, timestamp_sec: number | null, text: string }[]