skill-creator

To structure and package AI skills, organize components into modular directories like scripts, references, and assets. This framework ensures AI agent skills remain efficient, well-organized, and discoverable by managing resources properly.

The development lifecycle for prompt engineering workflows involves understanding requirements, planning resources, initializing, editing, packaging, and iterating. This structured approach ensures modular and efficient skill design for AI agents.

Best practices for AI skill design emphasize conciseness, progressive disclosure, and appropriate degrees of freedom. Following these guidelines ensures skill documentation and workflow automation remain structured and efficient.

No specific dependencies are required to create AI skills for workflow automation. The framework relies on internal resource management using scripts, references, and assets to modularize and package the skill components.

Manage resources for AI agent skills by separating components into dedicated directories. Use scripts for logic, references for documentation, and assets for static files to maintain modular and discoverable skill units.