Show HN: Intent Layer: A context engineering skill for AI agents

This article explores 'intent layer' as a specialized skill for improving how AI agents interpret and act on human requests. Rather than focusing on raw task execution, an intent layer adds a contextual reasoning step that helps agents understand the deeper purpose behind requests, not just their literal wording.

For business professionals, this matters because it addresses a real challenge with current AI agents: they often complete tasks mechanically without grasping your underlying intent. An intent layer teaches agents to pause and clarify what you're actually trying to achieve before proceeding. This reduces misaligned outputs and costly mistakes.

The practical implication is that as AI agents become more autonomous in your workflows, having better intent understanding becomes critical. Rather than supervising every step, you can trust agents with more complex, nuanced work when they truly comprehend your objectives. The article presents this as an emerging skill set—a new capability layer professionals should understand as agentic systems become standard tools.