skill-creator

To structure an AI skill, you need a root SKILL.md file along with directories for scripts, references, and assets. This anatomy organizes workflow design and documentation to effectively extend agent capabilities.

Core principles for AI skill creation include maintaining conciseness, defining appropriate degrees of freedom for the agent, and applying progressive disclosure. These practices ensure the skill remains efficient and well-documented.

When developing specialized AI skills for complex API interactions, you should organize necessary API documentation within the references directory. This resource management practice keeps external knowledge bases structured and accessible.

The AI skill creation process involves understanding the skill requirements, structuring the workflow design, writing the SKILL.md, organizing scripts and assets, and iterating on the design to enhance agent capabilities.

In AI development, scripts are used for executing automated actions and logic, while references store static documentation and knowledge bases. Proper resource management dictates using these components to balance agent capabilities.

No prior workflow design experience is strictly required, but understanding resource management and documentation practices helps. The skill creation guide provides a structured process to develop specialized AI functionalities step-by-step.