skill-creator

To create Claude skills, you structure a SKILL.md file alongside modular scripts, references, and assets. This approach provides step-by-step guidance for defining specialized workflows, managing context efficiently, and packaging the skill for deployment.

The best way to manage context in AI skill development is through progressive disclosure, splitting information across modular files. By distributing details into separate scripts and references, you prevent context overload and maintain efficient Claude interactions.

No specific external dependencies are required to build Claude skills. The development process relies on structuring internal components like SKILL.md, scripts, and references to define workflows and integrate tool capabilities natively.

You bundle API documentation when creating AI skills by placing it inside the references directory. This modular design allows Claude to access specific company API details and interact with external services efficiently during workflow execution.

The components of a Claude skill anatomy include the core SKILL.md file, scripts for executable actions, references for documentation, and assets. These elements work together to establish modularity and progressive disclosure in AI development.

You should split information across files in AI skill design when managing complex workflows that require progressive disclosure. This context management strategy ensures Claude retrieves only necessary details from references, optimizing processing logic.