skill-creator

To create an AI skill, you design a structured unit containing a SKILL.md file along with scripts, references, and assets. This organizes domain knowledge and tool integrations to effectively extend agent capabilities.

A new AI skill structure consists of a SKILL.md file for documentation, alongside directories for scripts, references, and assets. Organizing code and documentation within these components ensures effective agent extension.

Core principles of skill creation include maintaining conciseness, setting appropriate degrees of freedom for the agent, and applying progressive disclosure to manage complexity in workflows and documentation.

Workflow design for AI onboarding follows a step-by-step creation process: understanding the domain, structuring the skill anatomy, documenting core principles, and iterating on the agent capabilities.

You need to build a custom skill when onboarding an AI agent to a specific domain like a new internal API or complex business process that existing capabilities cannot handle out of the box.

Creating a new skill requires no external dependencies; it relies entirely on organizing internal knowledge into a structured format with scripts, references, and assets for effective agent extension.