SkillsAdd

smithery/glebis

transcript-analyzer

This skill analyzes meeting transcripts to extract decisions, action items, opinions, questions, and terminology using Cerebras AI (llama-3.3-70b).

Installation

$ npx skills add smithery/glebis --skill transcript-analyzer
View on skills.sh ↗ Website ↗

Summary

  • 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.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
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Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
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OpenCode Not declared

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,529 B
  • docs SUMMARY.md 385 B

History

  1. First recorded snapshot · 0 installs

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

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)

  1. Extractions - Categorized findings with confidence scores:

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

  1. 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