skill-creator

To create custom Claude skills, you structure modular skill packages containing specialized domain knowledge, workflow logic, and tool integrations. This process involves planning, initializing, validating frontmatter, and packaging into a distributable .skill file.

Progressive disclosure in skill design is a pattern that structures workflows to load context efficiently. It prevents excessive context bloat by only revealing necessary information at each step, making skills easier to maintain and less prone to non-triggering failures.

Yes, pyyaml is required to validate and package custom skills. It acts as the underlying dependency for processing skill structure, validating frontmatter, and enabling the scripts that package your files into a distributable .skill format.

Fix non-triggering Claude skills by validating their structure, frontmatter, and naming conventions against official standards. Ensuring proper modular design and eliminating context bloat through progressive disclosure patterns will restore reliable activation.

The best way to package Claude skills for distribution is using built-in validation and packaging scripts to compile modular workflows, classification logic, and assets into a self-contained .skill file that adheres to official skill structure standards.

Yes, you can include custom scripts for API integration inside a modular skill package. The skill structure supports adding reusable classification scripts and custom business logic to handle specific data processing workflows effectively.