claude:skill-creator

To structure an AI skill for progressive disclosure, you organize components like SKILL.md, scripts, and references modularly, keeping core instructions concise while offloading detailed logic to separate assets. This approach minimizes context window usage and improves agent efficiency.

The best way to write a SKILL.md file is to follow skill anatomy principles, ensuring the content is concise and well-structured. You should clearly define the skill's purpose, set degrees of freedom for the AI, and separate heavy logic into scripts or references.

When creating a skill, use scripts for executable logic and automated tasks, and use references for static documentation or contextual data. This modular design ensures the AI agent loads only necessary information, optimizing performance and maintaining conciseness.

Core principles for developing effective AI skills include maintaining conciseness, implementing progressive disclosure, and setting appropriate degrees of freedom. These practices ensure the AI agent processes instructions efficiently without being overwhelmed by unnecessary context.

Yes, you can use this guide to create a skill for summarizing code. It outlines a step-by-step creation process from planning to iteration, helping you structure the SKILL.md file and allocate assets correctly to build a functional code summarization tool.

An AI agent may fail to follow complex skill instructions if the skill lacks conciseness and proper progressive disclosure. Moving heavy logic to scripts and detailed context to references reduces cognitive load, allowing the agent to process and execute tasks more reliably.