Agent-Skills.md

Agent Skills: Transcript Analyzer

This skill analyzes meeting transcripts to extract decisions, action items, opinions, questions, and terminology using Cerebras AI (llama-3.3-70b). Use this skill when the user asks to analyze a transcript, extract action items from meetings, find decisions in conversations, build glossaries from discussions, or summarize key points from recorded meetings.

UncategorizedID: glebis/claude-skills/transcript-analyzer

Repository

glebis/claude-skills
glebis
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transcript-analyzer/SKILL.md

Skill Metadata

Name
transcript-analyzer
Description
This skill analyzes meeting transcripts to extract decisions, action items, opinions, questions, and terminology using Cerebras AI (llama-3.3-70b). Use this skill when the user asks to analyze a transcript, extract action items from meetings, find decisions in conversations, build glossaries from discussions, or summarize key points from recorded meetings.

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

| 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:

  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