transcript-analyzer

name

transcript-analyzer

description

Extract structured insights (decisions, action items, opinions, questions, terminology) from any transcript using Cerebras llama-3.3-70b. Use when the user says "extract structured insights from transcripts", "analyze the daytradewarrior transcripts", "what are the decisions in this meeting", "find action items", "build a glossary from this discussion", "summarize key points from this recording", or asks to process meeting/podcast/YouTube/interview transcripts. Outputs markdown with YAML frontmatter, confidence-scored extractions, and incremental glossary.

Transcript Analyzer

Overview

Analyze meeting / podcast / interview / YouTube transcripts using Cerebras llama-3.3-70b 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 incremental glossary

Prerequisites

1. Install dependencies (one-time)

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

2. Get a Cerebras API key

Sign up at https://cloud.cerebras.ai — there is a free tier with generous limits (this is what makes llama-3.3-70b extraction effectively free for personal use). Create a key in the dashboard, then put it in scripts/.env:

CEREBRAS_API_KEY=csk-...

Reference doc: https://inference-docs.cerebras.ai/

Usage

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 a specific section

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

the user-specific assets

Existing transcript corpora on this machine (point the CLI at any of these or your own paths):

• 451 DaytradeWarrior YouTube transcripts — bulk-downloaded corpus, ~2M words. Use to extract Warrior's recurring trade rules, setups, risk decisions, and build a strategy glossary. Path lives under C:\Users\A\Desktop\YouTube\... (point at the actual transcript files when invoking).
• MIF book knowledge bases — 541 books distilled at C:\Users\A\Desktop\МИФ\_knowledge_bases\. Useful for opinion / decision extraction across long-form content.
• Lagarra meeting recordings — when transcribed, route through this skill before pushing summaries to assistants.

When running against the DaytradeWarrior corpus, prefer --no-glossary per-file then merge glossaries at the end (the default data/glossary.json is incremental).

Output Format

The tool generates markdown with:

1. YAML frontmatter — processing metadata: chunks processed, extraction counts 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 includes speaker (if identified), source snippet, and related terms.
3. Glossary — approved terms from the existing glossary plus suggested new terms with definitions.

Files in this skill

• 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 offline testing
• scripts/src/lib/utils.ts — shared helpers
• scripts/src/types/index.ts — TypeScript type definitions
• scripts/data/glossary.json — default incremental glossary store
• scripts/package.json, scripts/tsconfig.json — Node/TS config

Source

Adapted from https://github.com/glebis/claude-skills/tree/main/transcript-analyzer (no license declared — personal use only, do not redistribute).