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meeting-insights-analyzer

Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.

64

1.12x
Quality

47%

Does it follow best practices?

Impact

96%

1.12x

Average score across 3 eval scenarios

SecuritybySnyk

Risky

Do not use without reviewing

Optimize this skill with Tessl

npx tessl skill review --optimize ./plugins/all-skills/skills/meeting-insights-analyzer/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

98%

3%

Communication Feedback on 1:1 Meeting

Conflict avoidance detection and example format

Criteria
Without context
With context

Hedging language identified

100%

100%

Indirect phrasing detected

100%

100%

Subject change avoidance flagged

100%

100%

Transcript quotes used

100%

100%

Better Approach provided

100%

100%

Impact explanation included

100%

100%

Frequency count provided

50%

100%

Agreeing without commitment

100%

60%

Unaddressed problem flagged

100%

100%

Structured pattern sections

100%

100%

Unresolved issue identified

100%

100%

94%

Team Meeting Facilitation Review

Speaking ratios, facilitation analysis, and summary format

Criteria
Without context
With context

Speaking percentage calculated

100%

100%

Interruptions counted

100%

100%

Question vs. statement ratio

70%

100%

Quieter participants identified

100%

100%

Directive decision-making noted

100%

100%

Meeting Insights Summary section

100%

80%

Speaking Statistics section

100%

100%

Communication Strengths section

100%

100%

Growth Opportunities section

100%

100%

Next Steps section

100%

100%

Follow-up options offered

40%

0%

97%

29%

Client Presentation Communication Coaching

Filler word counting and pattern identification

Criteria
Without context
With context

Filler words counted

20%

100%

Frequency per minute or per turn

0%

100%

High-frequency situations identified

86%

100%

Transcript quotes used

100%

100%

Better Approach provided

90%

100%

Finding summary per pattern

50%

100%

Filler type breakdown

20%

40%

Confidence contrast noted

100%

100%

Impact explanation

90%

100%

Coaching recommendations

90%

100%

Repository
davepoon/buildwithclaude
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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