intent-layer

Organize code context with hierarchical AGENTS.md files for agent navigation.

105|13|Updated Jan 18, 2026
One-click install
npx skills add https://github.com/crafter-station/skills --skill intent-layer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: intent-layer
Source: https://github.com/crafter-station/skills/tree/main/context-engineering/intent-layer
Command: npx skills add https://github.com/crafter-station/skills --skill intent-layer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you establish a scalable, hierarchical AGENTS.md structure so AI agents can navigate and understand large codebases more efficiently.

Core Features & Use Cases

  • Root context file management: Create a single root AGENTS.md (or CLAUDE.md) and propagate to subdirectories as needed.
  • Automated node generation: Generate child AGENTS.md files for complex subsystems to maintain clarity.
  • Use Case: Start a new project with clear agent-oriented documentation, or add intent layer infrastructure to an existing repo to improve agent reasoning.

Quick Start

Run the setup to initialize the Intent Layer in your project and generate root/context nodes as needed.

Frequently Asked Questions about intent-layer

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

FAQPage Schema
How do I organize code context for AI agents in a large codebase?

You can organize code context by establishing a hierarchical AGENTS.md structure, using a root file and optional child nodes to guide multi-agent navigation and reasoning across complex subsystems.

What is the best way to add agent navigation documentation to an existing repo?

Adding agent navigation to an existing repo involves initializing an intent layer with a root AGENTS.md or CLAUDE.md, then generating child context files for complex subdirectories to maintain structural clarity.

Can I use CLAUDE.md instead of AGENTS.md for codebase organization?

Yes, you can use a root CLAUDE.md instead of AGENTS.md to establish the intent layer, propagating structural context to child nodes and guiding agent reasoning and tool usage across the codebase.

When do I need to generate child AGENTS.md files for my project?

You need to generate child AGENTS.md files when your project contains complex subsystems that require localized structural context, ensuring AI agents maintain clear navigation and reasoning at each directory level.

Does intent-layer work for both new projects and existing repositories?

Yes, the intent layer works for both new projects and existing repositories, applying hierarchical AGENTS.md structures to guide multi-agent reasoning, detect codebase state, and estimate context tokens.

How do I set up an intent layer to improve agent reasoning in my codebase?

You set up an intent layer by running initialization scripts to create a root AGENTS.md or CLAUDE.md, then generating child nodes for complex subsystems to provide structural context that guides agent reasoning.