skill-creator

Progressive disclosure in AI skill development structures your skill to load only necessary context initially, optimizing context window usage. It ensures efficient resource management by revealing deeper layers of information, like bundled references or scripts, only when required.

To create a custom AI skill for an internal API, follow structured guidance for skill anatomy and modularity. You bundle necessary scripts, references, and assets into designated directories, applying best practices for documentation and context management.

The best way to structure AI skills for optimal context window usage is applying progressive disclosure and modularity. This design pattern separates core logic from bundled resources like scripts and references, ensuring the AI loads only what it needs.

Manage bundled resources by organizing them into dedicated `scripts/`, `references/`, and `assets/` directories. This resource management approach keeps your skill modular, ensures dependencies are cleanly separated, and supports efficient execution.

You need basic software engineering knowledge to build and package custom AI skills. The skill provides structured guidance on design principles, but understanding modularity, context management, and directory structures is essential for effective development.

AI skills fail to maintain context during complex tasks due to poor context window management. Implement progressive disclosure and modular design patterns to structure information efficiently, preventing context overload and maintaining performance.