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.