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optimize-agents-md

Refactor AGENTS.md files by separating overlapping rules into scoped modules.

Updated Mar 24, 2026
Search Tags:#documentation#context management#prompt engineering#skill design#progressive disclosure#agents.md#modular instructions
One-click install
npx skills add https://github.com/CNife/skills --skill optimize-agents-md-cnife
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: optimize-agents-md
Source: https://github.com/CNife/skills/tree/main/.archive/optimize-agents-md
Command: npx skills add https://github.com/CNife/skills --skill optimize-agents-md-cnife

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you design and refactor AGENTS.md files so AI agents load only the rules they need, reducing duplicated instructions and context bloat.

Core Features & Use Cases

  • Scope planning: Decide whether a rule belongs in the project root, a subdirectory, docs, or a Skill.
  • Rule splitting: Break large AGENTS.md files into clean, maintainable modules without repeating content.
  • Use case: When a repository has one overloaded AGENTS.md, use this Skill to propose a minimal root file plus separate module and workflow instructions.

Quick Start

Ask me to review your AGENTS.md and suggest a scoped split with concise replacement content.

Frequently Asked Questions about optimize-agents-md

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

FAQPage Schema
How do I structure AGENTS.md files to reduce context waste for AI agents?▼

Structure AGENTS.md files by separating overlapping rules into scoped modules. This progressive disclosure approach ensures AI agents load only necessary instructions, reducing duplicated content and context bloat.

What is the best way to split a large AGENTS.md file into maintainable modules?▼

Split large AGENTS.md files by applying scope-based decomposition and duplication checks. Break overloaded root files into a minimal project root file plus separate module-level and workflow instructions without repeating content.

How do I decide if a rule belongs in the project root AGENTS.md or a subdirectory?▼

Decide rule placement by analyzing scope boundaries. Rules applying to the entire repository belong in the root AGENTS.md, while specific instructions belong in subdirectory files or docs to keep instructions maintainable.

When should I use a Skill versus an AGENTS.md document for AI agent instructions?▼

Use a Skill versus an AGENTS.md document based on scope and reusability. Skills handle discrete, repeatable workflows, while scoped AGENTS.md files manage persistent context and module-level rules for specific repository sections.

Why does my AI agent load duplicated instructions from different AGENTS.md files?▼

Duplicated instructions occur when AGENTS.md files lack scope-based decomposition. Refactor overlapping rules by moving shared instructions into the correct scope and performing duplication checks to eliminate context waste.

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