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Innei
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chat-export-report

Analyzes chat logs from WeChat, Telegram, iMessage, and QQ into layered reports.

61|1|Updated Apr 2, 2026
Search Tags:#reports#analyze#export#topic-analysis#quotes#chat-logs
One-click install
npx skills add https://github.com/Innei/SKILL --skill chat-export-report
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: chat-export-report
Source: https://github.com/Innei/SKILL/tree/main/skills/research/chat-export-report
Command: npx skills add https://github.com/Innei/SKILL --skill chat-export-report

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill analyzes large exported chat histories (WeChat / Telegram / iMessage / QQ) to produce layered, drill-downable reports grounded in original quotes, helping you understand conversation dynamics when the full dump is unwieldy.

Core Features & Use Cases

  • Layered reporting: generate multi-tier reports that present high-level summaries and drill-down details from chat dumps.
  • Quote-grounded analysis: anchor findings to exact quotes with dates to preserve context.
  • Use Case: analyze a long chat export to identify tone shifts, topics, and relationships across themes like work, health, and events.

Quick Start

Provide an exported chat history path to the tool and request a layered report.

Frequently Asked Questions about chat-export-report

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze exported WeChat chat logs with thousands of lines?▼

To analyze massive exported WeChat chat logs, you can generate a layered, drill-downable report grounded in original quotes, identifying tone shifts, topics, and relationships across themes like work, health, and events.

What is the best way to summarize Telegram chat exports by topic?▼

The best way to summarize Telegram chat exports is through NLP-driven topic classification that produces multi-tier reports, presenting high-level summaries and drill-down details from the chat dump.

Does chat export analysis work with JSON and TXT files from iMessage?▼

Yes, chat export analysis works with MD, TXT, and JSON formats from iMessage, applying NLP-driven quote tagging and date referencing to preserve context within the layered output.

How do I generate a structured report from an unstructured QQ chat dump?▼

You generate a structured report from a QQ chat dump by processing the export with NLP-driven quote tagging, date referencing, and topic classification to create a layered output sliced by themes and time.

Can I slice chat report themes by specific time periods?▼

Yes, you can slice the layered report output by themes and time, allowing you to drill down into specific topics and track conversation dynamics across different time periods.

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