skill-creator

Structure an AI skill by organizing components like scripts, references, and assets to manage context efficiently. This architecture uses progressive disclosure to load resources only when needed, ensuring robust AI tool integration.

Progressive disclosure in AI skill development is the practice of managing context efficiently by loading bundled resources only when needed. This prevents context window overload and optimizes the model's processing workflow.

The best way to package AI skills is to follow a structured development workflow from planning to iteration. This involves defining trigger conditions, including helper scripts, and bundling documentation to facilitate robust tool integration.

Plan and initialize a new AI skill by following a guided development lifecycle. This process addresses skill architecture, documentation best practices, and the organization of bundled resources to ensure the skill is well-organized and easy for models to use.

Yes, you can include helper scripts within your skill architecture. Bundling scripts alongside references and assets allows you to execute specific logic and manage context efficiently during AI tool integration.

AI skills fail to trigger correctly when documentation and trigger conditions are poorly defined. Structuring your skill architecture properly and defining clear initialization parameters ensures the model understands when to load the skill.