book-mirror

Create personalized chapter-by-chapter book analyses from EPUB or PDF files.

Updated May 16, 2026
One-click install
npx skills add https://github.com/Morris-UTRUST/GBrain-knowledge --skill book-mirror-morris-utrust
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: book-mirror
Source: https://github.com/Morris-UTRUST/GBrain-knowledge/tree/main/skills/book-mirror
Command: npx skills add https://github.com/Morris-UTRUST/GBrain-knowledge --skill book-mirror-morris-utrust

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reading often yields generic summaries that miss personal relevance. book-mirror solves this by producing a chapter-by-chapter analysis that ties each idea to the reader's life using brain context, delivering a single brain page ready for immersion.

Core Features & Use Cases

  • Left column preserves chapter text; right column maps each idea to real-life contexts, dates, people, and patterns in the brain.
  • Works with EPUB or PDF inputs and outputs a brain page at media/books/<slug>-personalized.md, with an optional PDF via brain-pdf.
  • CLI-driven workflow with deterministic, read-only subagents for chapter analysis; ensures controlled access to the environment and cross-linking.

Quick Start

Drop a book file (EPUB or PDF) and run gbrain book-mirror to generate the personalized brain page.

Frequently Asked Questions about book-mirror

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

FAQPage Schema
How do I create a personalized chapter-by-chapter book analysis from an EPUB or PDF?

Book personalization works by preserving original chapter text in a left column while mapping each idea to your real-life contexts, dates, and patterns in a right column. This creates a dense, personally relevant brain page instead of a generic summary.

How does book personalization connect chapter ideas to my personal brain context?

Book personalization works by preserving original chapter text in a left column while mapping each idea to your real-life contexts, dates, and patterns in a right column. This creates a dense, personally relevant brain page instead of a generic summary.

What is the best way to convert a book into a two-column analysis page with cross-linking?

Yes, the tool can render an optional PDF output from the generated markdown brain page. This is handled by the brain-pdf component, which takes the personalized markdown file and produces a formatted PDF document.

Can I render a PDF output from the generated personalized book markdown?

Yes, the tool can render an optional PDF output from the generated markdown brain page. This is handled by the brain-pdf component, which takes the personalized markdown file and produces a formatted PDF document.

Does the book analysis workflow support both EPUB and PDF input files?

The CLI-driven workflow uses deterministic, read-only subagents for chapter analysis to ensure controlled access to the environment. This prevents unintended modifications while securely gathering dense context for the brain page assembly.

Why does the CLI-driven book analysis use read-only subagents for chapter processing?

The CLI-driven workflow uses deterministic, read-only subagents for chapter analysis to ensure controlled access to the environment. This prevents unintended modifications while securely gathering dense context for the brain page assembly.