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Principle Minimize Reader Load

ASecurity

Apply when reviewing or shaping code that's hard to trace. Count layers between question and answer, and hidden state in the reader's head; collapse one-caller wrappers and shrink mutable scope.

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  • Added May 27, 2026
developmentapi

Works with

  • cursor
  • api

Security analysis

A100/100

Scanned September 6, 2026

npx -y skills add v1truv1us/ai-eng-system --skill principle-minimize-reader-load --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: principle-minimize-reader-load
description: Apply when reviewing or shaping code that's hard to trace. Count layers between question and answer, and hidden state in the reader's head; collapse one-caller wrappers and shrink mutable scope.
metadata:
  version: 1.0.0
  tags: cursor-import, pstack
---

# Minimize Reader Load

Maintainability is the work a reader must do to understand code. Track two axes:
1. **Layers to trace.** How many indirections sit between the question and the answer.
2. **State to hold.** How much hidden or mutable context the reader must keep in their head.

**Why:** Code is read far more than it is written. LOC, cyclomatic complexity, and "clean architecture" are proxies. Reader load is the thing that matters. The two axes are independent. A flat file with 50 globals can be as hard to reason about as a 6-layer adapter stack. Guard both. This is the human analog of [Guard the Context Window](../principle-guard-the-context-window/SKILL.md): working memory is finite for readers too.

**The pattern:**
- **Collapse layers** that do not earn their keep: wrappers with one caller, adapters with no second implementation, indirection introduced for a future that never came. Inline them.
- **Shrink state scope:** prefer pure functions (returns over mutations), locals over fields, fields over module state, and module state over globals. Derive instead of sync.
- **Name the invariant at the boundary,** not in every consumer, so the reader learns it once.
- Before adding a layer or a piece of state, ask: does this reduce reader load somewhere else by at least as much?

**The test:** Can a new reader answer "where does X come from?" and "what can change X?" in under 30 seconds? If not, cut layers or cut state.

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