skill-creator

To create an AI agent skill, you design modular components like scripts and references, manage context efficiently, and document workflows in a SKILL.md file to provide procedural knowledge and tool integrations.

Progressive disclosure in AI skill development is a context management strategy that loads resources like scripts and references only when needed, optimizing the agent's context window during task execution.

Building custom AI agent capabilities requires understanding modular design and resource management to organize scripts and documentation effectively, though the process is guided step-by-step to help structure specialized knowledge.

The best way to structure AI workflow documentation is to use a modular design with a root SKILL.md file, separating procedural knowledge into dedicated scripts and references directories for efficient context loading.

You organize bundled resources by placing executable logic in a scripts directory, domain expertise in a references directory, and overarching instructions in a SKILL.md file to ensure efficient context management.

You should use modular design for AI skill creation when developing specialized agents that require distinct tool integrations, domain expertise, and context-efficient loading to execute complex workflows without overwhelming the system.