skill-creator

To structure an AI agent skill for packaging, organize your project into specific directories using the Agent Skills specification. You should separate helper logic into a scripts folder, place documentation in references, and manage static assets appropriately before bundling everything into a distributable .skill file.

Best practices for developing custom AI capabilities include following progressive disclosure principles, maintaining modularity through resource organization, and adhering to the end-to-end creation process from understanding requirements to final validation and packaging.

To package AI skills into a distributable format, you must validate your skill structure and bundle the components into a .skill file. This process ensures the resource organization, including scripts and references, is correctly assembled for deployment.

In AI skill development, use the scripts directory for executable helper logic and the references directory for static documentation. This resource management strategy ensures modularity and efficiency by separating code from context.

Building AI agent skills requires understanding the Agent Skills specification rather than a specific SDK. The development guide focuses on structuring the SKILL.md file, organizing resources, and following design principles to create robust capabilities.