create-skill

You turn SQL query patterns into reusable workflow automation by packaging them into a valid SKILL.md file with correct YAML frontmatter and trigger descriptions, ensuring the workflow triggers automatically based on natural language user intent.

Creating custom data engineering skills without memorizing documentation is best achieved through a guided workflow that automatically enforces skill authoring standards, including compliant naming, progressive disclosure rules, and correct storage directory selection.

To package repeated data workflows into automatically triggerable skills, you collect required inputs through a guided prompt to generate a ready-to-use SKILL.md file, which defines the trigger descriptions and domain-specific logic needed for automatic execution.

Yes, skill scaffolding supports storing workflows at either the project-level or user-level, with the creation process automatically guiding you to select the appropriate storage location based on whether the skill is intended for personal or team use.

Yes, you need pyyaml installed because skill creation relies on it to generate valid SKILL.md files with correct YAML frontmatter, ensuring your custom workflows comply with Datus skill authoring standards without manual formatting errors.

Manual skill authoring causes non-compliance because it requires memorizing complex documentation for YAML frontmatter, trigger descriptions, and directory structures, leading to formatting errors that prevent workflows from triggering automatically.