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:
bash
cd ~/.claude/skills/transcript-analyzer/scripts && npm install
Usage
To analyze a transcript:
bash
cd ~/.claude/skills/transcript-analyzer/scripts && npm run cli -- <transcript-file> -o <output.md> [options]
Options
| Option | Description |
|---|---|
<file> | Transcript file to analyze (first positional arg) |
-o, --output <path> | Write markdown to file instead of stdout |
--include-transcript | Include full transcript in output [default: off] |
--no-extractions | Exclude extractions section |
--no-glossary | Exclude glossary section |
--glossary <path> | Custom glossary JSON path |
--skip-glossary | Don't preload glossary terms |
--max-terms <num> | Limit glossary suggestions |
--chunk-size <num> | Override chunk size (default: 3000) |
Examples
Basic Analysis
bash
cd ~/.claude/skills/transcript-analyzer/scripts && npm run cli -- /path/to/meeting.md -o /path/to/analysis.md
Include Original Transcript
bash
cd ~/.claude/skills/transcript-analyzer/scripts && npm run cli -- /path/to/meeting.md -o /path/to/analysis.md --include-transcript
Extractions Only (No Glossary)
bash
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:
bash
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:
- •
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)
- •
Extractions - Categorized findings with confidence scores:
- •Each extraction includes speaker (if identified), source snippet, and related terms
- •
Glossary - Approved terms from existing glossary + suggested new terms with definitions
Configuration
The skill uses Cerebras API with the key stored in scripts/.env:
code
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