About transcript-analyzer
Transcript Analyzer is a command-line skill that uses AI to analyze meeting transcripts for people who need structured meeting notes and terminology tracking. It extracts decisions, action items, opinions, questions, and terms, then produces a Markdown report.
Key features
- 01Categorizes decisions, action items, and opinions
- 02Identifies questions and domain terms
- 03Processes transcripts in chunks
- 04Creates Markdown reports with confidence scores
- 05Supports custom glossaries and output options
Use cases
- 01Organize meeting decisions and assigned tasks
- 02Summarize open questions and participants' opinions
- 03Create or update a glossary from meeting transcripts
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ glebis/ claude-skills --skill transcript-analyzerAfter installing, type/transcript-analyzerin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
.claude-plugin/plugin.jsonscripts/cli.tspackage-lock.jsonpackage.jsontsconfig.jsonscripts/data/glossary.jsonscripts/src/lib/extract-service.tsmarkdown.tsmockExtractor.tsterm-utils.tsutils.tsscripts/src/types/index.tsDetails
From the project READMETranscript 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
| 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
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:
-
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:
CEREBRAS_API_KEY=<your-key>
Scripts
scripts/cli.ts- Main CLI entry pointscripts/src/lib/extract-service.ts- AI processing logic using Cerebrasscripts/src/lib/markdown.ts- Markdown output generationscripts/src/lib/term-utils.ts- Term deduplication utilitiesscripts/src/lib/mockExtractor.ts- Mock mode for testingscripts/src/types/index.ts- TypeScript type definitionsscripts/data/glossary.json- Default glossary storage