skill-creator

To structure an AI skill, organize your project into a SKILL.md file alongside scripts, references, and assets directories. This modular anatomy ensures AI agents can efficiently parse instructions and locate necessary execution resources.

Progressive disclosure in AI skill creation is a design principle that limits initial context loading to essential instructions. It structures documentation to provide detailed references only when specifically needed, ensuring efficient AI context utilization.

To create a new AI skill, follow a structured process: define requirements, draft the SKILL.md anatomy, organize modular scripts and references, apply progressive disclosure principles, and iterate on the design to ensure effective agent extension.

The best way to manage resources in AI skill development is to separate dynamic logic into scripts, static context into references, and binary files into assets. This organization optimizes AI context utilization and maintains modular agent extensions.

You need to use the skill-creator guide when developing new AI skills or updating existing ones to ensure they are well-structured for agents. It provides necessary best practices for documentation and resource management if you are building modular agent extensions.

AI skills fail to utilize context efficiently when they lack proper progressive disclosure or have poorly organized resources. Overloading the SKILL.md with excessive details instead of using modular scripts and references degrades agent performance.