book-mirror

Generate a two-column chapter-by-chapter analysis of EPUB/PDF books using stored brain context.

5|1|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/GYF0311/lorekit --skill book-mirror-gyf0311
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: book-mirror
Source: https://github.com/GYF0311/lorekit/tree/main/brain/skills/book-mirror
Command: npx skills add https://github.com/GYF0311/lorekit --skill book-mirror-gyf0311

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It turns an EPUB/PDF into a chapter-by-chapter, two-column personalized analysis so the book feels relevant to your real experiences instead of generic takeaways.

Core Features & Use Cases

  • Chapter-preserving personalization: Keeps the chapter content in the left column while mapping every key idea to your actual life in the right column using your brain context.
  • Context-grounded mirroring: Builds a context pack from your USER/SOUL pages, recent reflections, topic-relevant searches, and entity pages, then runs read-only subagents per chapter.
  • Single output artifact (plus optional PDF): Produces one consolidated brain page at media/books/<slug>-personalized.md and can optionally render it to PDF.
  • Use case: If you’re reading a psychology or relationships book, you can generate a therapist-style mirror of each chapter against your own quotes, patterns, people, and dates.

Quick Start

Ask the system to run book-mirror for your local EPUB/PDF and write the personalized output into media/books/<slug>-personalized.md, using your brain context for the right column.

Frequently Asked Questions about book-mirror

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

FAQPage Schema
How do I generate a personalized book analysis from an EPUB or PDF?

To generate a personalized book analysis, the system extracts chapters from your EPUB or PDF and maps each key idea to your stored life context, creating a chapter-by-chapter two-column markdown output at media/books/<slug>-personalized.md. It uses read-only subagents to analyze each chapter against your context pack.

What is context-grounded mirroring for personalized reading?

Context-grounded mirroring is a process that builds a context pack from your personal pages, reflections, and entity data, then maps book ideas to your actual life experiences in a two-column format. This creates an immersive output where the left column preserves chapter content and the right column reflects your personal context.

Can I use my personal knowledge base to create chapter-by-chapter book notes?

Yes, you can use your personal knowledge base to create chapter-by-chapter book notes. The system assembles a context pack from your stored USER/SOUL pages, recent reflections, and topic-relevant searches, then uses this data to generate a personalized two-column analysis for each chapter.

How do I analyze a psychology or relationships book against my own life patterns?

You can analyze psychology or relationships books against your life patterns by running the book-mirror workflow, which acts like a therapist-style mirror. It maps each chapter's ideas to your actual quotes, behavioral patterns, people, and dates stored in your brain context.

Does the personalized book analysis output support PDF rendering?

Yes, the personalized book analysis output supports optional PDF rendering via brain-pdf. The primary output is a consolidated markdown page written to media/books/<slug>-personalized.md, which you can then optionally render to a PDF file.