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book-mirror

Mirror and personalize book chapter content for targeted reuse.

1|Updated May 9, 2026
Search Tags:#summarization#personalization#chapter#book#mirroring#content adaptation
One-click install
npx skills add https://github.com/weiping/gbrain-cn --skill book-mirror
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: book-mirror
Source: https://github.com/weiping/gbrain-cn/tree/main/test/fixtures/openclaw-mixed-merge/skills/book-mirror
Command: npx skills add https://github.com/weiping/gbrain-cn --skill book-mirror

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you quickly mirror a specific chapter and personalize the content for your own context instead of rewriting from scratch.

Core Features & Use Cases

  • Chapter mirroring: Replicate or reframe content at the chapter level for targeted reuse.
  • Personalization: Adapt the mirrored material to your goals, audience, or voice.
  • Fixture-supported testing: Acts as a stub for automated fixture testing of mixed-merge behavior (v0.40.11.0 regression).

Quick Start

Ask your AI agent to mirror a chapter from the provided book and personalize it for your specific use case.

Frequently Asked Questions about book-mirror

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

FAQPage Schema
How do I personalize book chapters for a specific audience without rewriting from scratch?▼

Book chapter personalization adapts existing content to your goals and audience using mirroring. You provide chapter-level input and the Skill reframes the material, reducing manual rewriting effort for learning, summaries, or reuse scenarios.

What is chapter mirroring and how does it work for content adaptation?▼

Chapter mirroring replicates or reframes book content at the chapter level for targeted reuse. The mechanism takes chapter-level input and applies deterministic fixture behavior to personalize the material according to your specific instructions.

Can I use this to create personalized book summaries from individual chapters?▼

Yes, you can create personalized book summaries by providing chapter-level input to the Skill. It mirrors the chapter content and adapts it to your specific use case, audience, or voice for learning and summary generation.

Do I need to provide full book text or just chapter-level input for content adaptation?▼

You need to provide chapter-level input, not the full book text. The Skill requires chapter-scoped input to perform targeted adaptation and personalization, ensuring the mirrored content aligns with your specific goals and instructions.

What are the limitations of chapter mirroring for content reuse?▼

Chapter mirroring is limited to chapter-scoped input and requires deterministic fixture behavior and instruction adherence. It is designed for targeted adaptation rather than full-book processing, so workflows needing broader context beyond individual chapters may not be suitable.

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