LINE Local Reader

Extract concise summaries from local LINE HTML chat backups.

Updated Mar 7, 2026
One-click install
npx skills add https://github.com/bibo1243/claw_memory --skill line-local-reader
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: LINE Local Reader
Source: https://github.com/bibo1243/claw_memory/tree/main/skills/line_local_reader
Command: npx skills add https://github.com/bibo1243/claw_memory --skill line-local-reader

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Read and summarize LINE chat backups stored locally on your computer (HTML format) to produce concise, actionable notes.

Core Features & Use Cases

  • Extract key conversations quickly from local LINE HTML backups.
  • Identify decisions, implicit commitments, and to-dos for easy task tracking.
  • Support targeted summaries for specific chats or groups, with a bulk-scan option for periodic reviews.

Quick Start

Ask LINE Local Reader to summarize the messages from a local HTML backup file.

Frequently Asked Questions about LINE Local Reader

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

FAQPage Schema
How do I extract key decisions and to-dos from a local LINE chat backup?

You can summarize local LINE backups by applying deterministic extraction and regex-based parsing to HTML files, producing concise highlights of decisions and to-dos for quick review.

What is the best way to summarize LINE HTML backups for quick review?

Summarizing LINE HTML backups is best achieved through deterministic extraction using regex-based parsing to filter content and produce concise, actionable insights for quick review.

Can I do a bulk scan of multiple LINE chats during periodic reviews?

Yes, you can perform a bulk scan of multiple LINE chats during periodic reviews by processing local HTML backup files to generate targeted summaries across groups.

Does the LINE Local Reader work with chat backups exported as HTML files?

Yes, this approach works directly with local LINE backups exported as HTML files, applying regex-based parsing to extract and filter content for actionable summaries.

How do I identify implicit commitments in LINE group chats?

You identify implicit commitments in LINE group chats by parsing local HTML backups with deterministic extraction to filter conversations and highlight decisions, to-dos, and commitments.