Show HN: Intent Layer: A context engineering skill for AI agents (www.railly.dev)

A new AI tool called Intent Layer has been introduced by Crafter Station, aimed at enhancing the context understanding of AI agents such as Claude Code, Codex, and Copilot. The Intent Layer addresses a common problem faced by developers: existing AI models often produce inconsistent results due to their lack of contextual knowledge about a codebase. By leveraging context engineering—an approach that provides structured information to AI agents—the Intent Layer helps create detailed AGENTS.md files that outline the purpose, contracts, and potential pitfalls of different components within a codebase. This structured context enables AI agents to navigate large repositories more effectively, leading to significant improvements in task execution. The significance of Intent Layer for the AI/ML community lies in its potential to refine how AI interacts with complex systems. With the ability to analyze project structures and suggest meaningful context nodes, the tool optimizes the AI's resource usage—reducing token consumption from 40k to 16k by facilitating direct access to relevant configuration files. This development not only enhances performance but also sets the stage for future skills in context engineering, aiming to solidify AI's understanding of intricate environments. As the first in a series of context engineering tools, Intent Layer represents a leap towards more intelligent and efficient AI systems that can mimic the knowledge and intuition of human engineers.