skill-creator

To create an AI agent skill, follow a six-step process from understanding the skill's core purpose to iteration, structuring your knowledge into a SKILL.md file alongside scripts and references directories to define specialized workflows.

Progressive disclosure in skill creation is a layered loading system that manages context efficiently, ensuring AI agents only load necessary information from SKILL.md, scripts, and references when required to optimize performance.

Structure skill resources by placing core instructions in a SKILL.md file, automating tasks within a scripts directory, and providing detailed documentation in a references directory to maintain clear organization and resource management.

Core design principles for writing effective AI agent skills emphasize conciseness and progressive disclosure, ensuring specialized knowledge and tool integrations are structured cleanly to extend agent capabilities without overwhelming context.

Yes, you can integrate cloud deployment APIs into a custom skill by organizing the necessary deployment automation within scripts and including relevant cloud provider API documentation in the references directory.

You need to build a custom skill when extending AI agent capabilities with specialized domain expertise, specific tool integrations, or unique workflow automations that are not covered by default agent behaviors.