skill-creator

Structure AI agent skills by organizing them into a SKILL.md file, scripts, references, and assets. This modular anatomy ensures efficient AI agent capabilities by separating logic from specialized knowledge and workflows.

Progressive disclosure in prompt engineering involves setting degrees of freedom and conciseness to reveal skill functionality only as needed. This design principle keeps AI agent workflows efficient and prevents overwhelming the context window.

The step-by-step process to package AI skills involves understanding requirements, structuring documentation, including necessary scripts, and defining triggers. You then iterate on the skill to refine its integration into AI agents.

Yes, you can use this approach to integrate specialized company APIs into an AI agent. The development process guides you in structuring documentation, including necessary scripts, and defining triggers for the specific API.

Core principles for writing effective AI skill documentation include maintaining conciseness, applying progressive disclosure, and setting appropriate degrees of freedom. These principles ensure the AI agent processes workflows efficiently.

You should avoid a modular skill structure for simple workflow automation tasks that lack specialized knowledge or tool integrations. Over-structuring basic prompts can reduce efficiency and add unnecessary complexity to AI agent operations.