transcript-analyzer

from glebis/claude-skills

Collection of Claude Code skills for enhanced AI workflows

7 stars1 forksUpdated Jan 25, 2026
npx skills add https://github.com/glebis/claude-skills --skill transcript-analyzer

SKILL.md

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

OptionDescription
<file>Transcript file to analyze (first positional arg)
-o, --output <path>Write markdown to file instead of stdout
--include-transcriptInclude full transcript in output [default: off]
--no-extractionsExclude extractions section
--no-glossaryExclude glossary section
--glossary <path>Custom glossary JSON path
--skip-glossaryDon't preload glossary terms
--max-terms <num>Limit glossary suggestions
--chunk-size <num>Override chunk size (default: 3000)

Examples

Basic Analysis

cd ~/.claude/skills/transcript-analyzer/scripts && npm run cli -- /path/to/meeting.md -o /path/to/analysis.md

Include Original Transcript

cd ~/.claude/skills/transcript-analyzer/scripts && npm run cli -- /path/to/meeting.md -o /path/to/analysis.md --include-transcript

Extractions Only (No Glossary)

cd ~/.claude/skills/transcript-analyzer/scripts && npm run cli -- /path/to/meeting.md -o /path/to/analysis.md --no-glossary

Analyze Specific Section

To analyze only part of a transcript, extract the section first:

sed -n '50,100p' /path/to/meeting.md > /tmp/section.md
cd ~/.claude/skills/transcript-analyzer/scripts && npm run cli -- /tmp/section.md -o /path/to/section-analysis.md

Output Format

The tool generates markdown with:

  1. YAML Frontmatter - Processing metadata:

    • chunks processed
    • extractions count by type
    • new terms discovered
    • model used (llama-3.3-70b via Cerebras)
    • token usage (input/output/total)

  2. Extractions - Categorized findings with confidence scores:

    • Each extraction includes speaker (if identified), source snippet, and related terms

  3. Glossary - Approved terms from existing glossary + suggested new terms with definitions

Configuration

The skill uses Cerebras API with the key stored in scripts/.env:

CEREBRAS_API_KEY=<your-key>

Scripts

  • scripts/cli.ts - Main CLI entry point
  • scripts/src/lib/extract-service.ts - AI processing logic using Cerebras
  • scripts/src/lib/markdown.ts - Markdown output generation
  • scripts/src/lib/term-utils.ts - Term deduplication utilities
  • scripts/src/lib/mockExtractor.ts - Mock mode for testing
  • scripts/src/types/index.ts - TypeScript type definitions
  • scripts/data/glossary.json - Default glossary storage

Repository

glebis
glebis/claude-skillsParent repository

Repository Stats

Stars7
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