Why does this skill use parallel agents?

Parallel execution allows for granular attention to detail across massive datasets without hitting context limits, significantly reducing the total time required for deep analysis.

Can I use this for professional meeting notes?

Absolutely. It is specifically designed to extract key events, advice given versus acted upon, and open threads from professional communications and transcripts.

Does the summary preserve the original speaker's tone?

Yes, the skill enforces a 'non-negotiable' exact quote policy, requiring 10-20 direct quotes per chunk to ensure the final synthesis remains grounded in the original participants' words.

What file formats are supported?

It supports a wide range of text-based formats including Markdown, plain text, ChatGPT JSON exports, Slack exports, and meeting transcripts.

How does it handle files larger than the Claude context window?

The skill automatically chunks files into 60-80K character segments and uses parallel subagents to analyze each part independently before performing a final narrative synthesis.

Conversation Narrative & Analysis

Name: Conversation Narrative & Analysis
Author: ylt

byylt

0•

생산성 및 워크플로

Transforms massive conversation logs and transcripts into structured granular analyses and cohesive narrative syntheses using parallel subagent processing.

Conversation Summary is a high-performance skill designed to overcome context window limitations when processing extensive chat logs, interview transcripts, and meeting notes. It employs a multi-phase workflow that intelligently chunks data, runs parallel granular analyses through specialized subagents, and synthesizes the findings into a high-quality, literary-style narrative. By focusing on non-negotiable exact quotes and a comprehensive 8-section analysis framework, it ensures no critical insight, participant observation, or emotional nuance is lost in the summarization process.

주요 기능

01Intelligent chunking of large files (60-80K chars) that respects message boundaries

02High-fidelity narrative synthesis that weaves together themes with exact source quotes

03Native support for parsing ChatGPT JSON exports, Slack logs, and long interview transcripts

04Parallel subagent execution for rapid, granular analysis of individual conversation segments

05Standardized 8-section analysis covering timelines, emotional arcs, and participant observations

060 GitHub stars

사용 사례

01Summarizing multi-hour research interview transcripts into a cohesive, readable literary narrative

02Processing massive ChatGPT history exports to extract specific advice, physical details, and setup configurations

03Analyzing months of project-related Slack or Discord chat history to track key decisions and open threads

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ylt/claude-plugins conversation-summary

For use in Claude.ai and ChatGPT

Download Skill