skill-creator

To create reusable skills for task automation, you design and save instructions using a structured SKILL.md frontmatter, organizing supporting files in optional scripts, references, and assets directories for future use.

The best way to structure workflow automation for reusability is defining a root SKILL.md file for metadata, then separating logic and resources into dedicated scripts, references, and assets directories to support progressive disclosure.

Yes, you can customize task automation skills with user-defined triggers, output formats, and edge case handling by capturing user intent and researching needs to tailor the skill's behavior.

Yes, skill creation works without external dependencies, allowing you to design and save self-contained automation instructions and workflows using only the required SKILL.md and optional directory components.

To handle edge cases when building workflow automation skills, you define specific triggers and output formats during the design phase, capturing intent and interviewing users to ensure consistent task execution.

You should use progressive disclosure in skill creation when automating complex workflows, loading metadata, instructions, and resources dynamically as needed to prevent overloading the system during task execution.