Analyze meeting transcripts for communication patterns and speaking ratios.
npx skills add https://github.com/eyadsibai/ltk --skill meeting-analysis
Please help me install this Agent Skill. Skill: meeting-analysis Source: https://github.com/eyadsibai/ltk/tree/main/plugins/ltk-product/skills/meeting-analysis Command: npx skills add https://github.com/eyadsibai/ltk --skill meeting-analysis
This Skill helps users understand and improve communication dynamics within meetings by analyzing transcripts for patterns in speaking habits, conflict avoidance, and facilitation style.
Analyze the provided meeting transcript for conflict avoidance patterns and speaking ratios.
High-intent search queries and answers about installing and using this skill.
Analyzing meeting transcripts for communication patterns involves processing text data to identify linguistic cues, speaking ratios, and facilitation styles. This Skill evaluates transcripts to quantify verbal habits and detect conflict avoidance indicators.
Yes, detecting conflict avoidance in meeting transcripts is achieved by identifying hedging language, indirect phrasing, and abrupt subject changes. The analysis isolates these linguistic cues to highlight instances where speakers avoid direct confrontation.
Calculating speaking ratios and identifying filler words requires quantitative linguistic analysis of spoken content. This Skill processes transcripts to measure speaking time percentages, turn lengths, interruptions, and counts common verbal fillers.
Yes, meeting analysis works with transcripts from various transcription sources. The Skill processes standard text data derived from spoken content, requiring no specific transcription platform dependency to evaluate linguistic cues and quantitative metrics.
Active listening and facilitation styles are assessed by recognizing questions that reference others' points and evaluating decision-making inclusivity. The analysis interprets these linguistic patterns to determine meeting effectiveness and team dynamics.
Yes, meeting analysis supports leadership coaching and improving team dynamics by processing transcripts to identify speaking habits and facilitation styles. It outputs quantitative metrics on verbal improvement areas and inclusivity for coaching feedback.
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