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Transcript Analyzer

glebis/claude-skills

Extracts decisions, action items, opinions, questions, and terminology from meeting transcripts using Cerebras AI's llama-3.3-70b model. It chunks large transcripts, processes them through the API, and outputs structured markdown with confidence scores for each extraction. The glossary feature is interesting: it can preload existing terms and suggest new ones with definitions as it encounters domain-specific language. You'll need to install npm dependencies and add your Cerebras API key first. Output includes token usage metrics in YAML frontmatter, which is helpful for tracking costs. Good for teams that record meetings and need consistent extraction without manually reading through everything.

skills.sh installs
257
GitHub stars
412
last updated
Aug 21, 2026
View on GitHub

Install

$ npx -y skills add glebis/claude-skills --skill transcript-analyzer --agent claude-code

Installs into .claude/skills of the current project.

Files

Transcript Analyzer

Overview

Analyze meeting transcripts using AI to automatically extract and categorize:

  • Decisions - Explicit agreements or choices made
  • Action Items - Tasks assigned to people
  • Opinions - Viewpoints expressed but not agreed upon
  • Questions - Unresolved questions raised
  • Terms - Domain-specific terminology for glossary

Prerequisites

Before first use, install dependencies:

cd ~/.claude/skills/transcript-analyzer/scripts && npm install

Usage

To analyze a transcript:

cd ~/.claude/skills/transcript-analyzer/scripts && npm run cli -- <transcript-file> -o <output.md> [options]

Options

SKILL.md on GitHub

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Details

Repository
github.com/glebis/claude-skills
Category
DevOps & CI/CD
First seen
Jun 3, 2026

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