bmad-editorial-review-structure

Propose cuts, reorganization, and simplification for document clarity.

Updated Feb 11, 2026
One-click install
npx skills add https://github.com/mschuerig/peach-ios --skill bmad-editorial-review-structure-mschuerig
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bmad-editorial-review-structure
Source: https://github.com/mschuerig/peach-ios/tree/main/_bmad/core/skills/bmad-editorial-review-structure
Command: npx skills add https://github.com/mschuerig/peach-ios --skill bmad-editorial-review-structure-mschuerig

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Structural editor that proposes cuts, reorganization, and simplification while preserving comprehension. Use when user requests structural review or editorial review of structure.

Core Features & Use Cases

  • Proposes targeted cuts and reordering to improve clarity and flow
  • Maintains meaning while reducing redundancy and complexity
  • Use case: when preparing a dense document for publication or knowledge base

Quick Start

Analyze the document and propose a minimal, high-value restructuring plan that preserves meaning.

Frequently Asked Questions about bmad-editorial-review-structure

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

FAQPage Schema
What is structural editing for document clarity and when do I need it?

Structural editing improves document clarity by proposing targeted cuts, reorganization, and simplification without changing meaning. Use it when preparing dense documents for publication or a knowledge base.

How do I reorganize a dense document to reduce word count while preserving meaning?

Apply a structure-first editing workflow that proposes high-value reordering and cuts to reduce redundancy. This yields measurable word-reduction outcomes while maintaining comprehension across sections.

Does this editorial review workflow change the original meaning of my content?

No, the editorial review workflow explicitly preserves comprehension while simplifying complexity. It targets high-value structural changes to improve flow without altering the underlying meaning.

What is the best way to simplify complex documents for a knowledge base?

The best way is structure-first editing, which analyzes the document and proposes a minimal, high-value restructuring plan that preserves meaning while improving clarity and flow.

What are the limitations of automated structure editing for content quality?

Automated structure editing proposes targeted cuts and reorganization but requires human review to ensure context preservation. It handles edge cases gracefully but focuses on high-value changes.