The Intent Layer provides a structured way for AI agents to navigate codebases by detecting project states and routing workflows accordingly. It's designed for developers working with complex codebases.
$ npx skills add https://github.com/crafter-station/skills --skill intent-layerIntent Layer enables AI agents to understand and navigate complex codebases through structured AGENTS.md files, allowing agents to detect project states and route workflows intelligently. Built on The Intent Layer framework by Tyler Brandt, it bridges the gap between agent capabilities and codebase complexity. The skill works with Claude Code, Cursor, Copilot, and 10+ other agents. By establishing clear context and intent markers, Intent Layer helps agents operate like senior engineers familiar with your project structure. This is essential for teams using AI agents in large, multi-faceted codebases where context and intelligent routing determine agent effectiveness.
Install via npx and add to your skills.
Detect the state of a project through scripts
Route projects based on completeness
Manage complex codebases with hierarchical structures
$ npx skills add https://github.com/crafter-station/skills --skill intent-layergit clone https://github.com/crafter-station/skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Check the GitHub repository or documentation for usage examples.
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