skill-creator

Creating a new AI skill requires following specific structure and naming conventions to ensure modularity. This process guides you through defining the skill structure, managing resources like scripts and references, and documenting workflows for efficient agent development.

Managing scripts and references for modular AI skills involves organizing them into dedicated directories like `scripts/`, `references/`, and `assets/`. This separation ensures modularity and efficiency, allowing the agent to handle specialized knowledge and resources cleanly.

Updating an existing AI skill involves refining its modularity, efficiency, and documentation. You can revise the skill structure, update resource management scripts, and enforce naming conventions to improve workflow automation and extend the agent's capabilities.

Validating an AI skill requires checking its structure, naming conventions, and resource management. Ensuring scripts, references, and assets are correctly packaged and documented guarantees the specialized knowledge and workflows integrate properly with the agent.

Yes, packaging internal API interaction scripts inside your AI skill is necessary for interacting with specific internal APIs. You use the `scripts/` directory to include these resources, ensuring the skill manages the workflow and references efficiently.