Display Name
Apple HIG Skills
Category
Agent Skills
GitHub Repository URL
https://github.com/raintree-technology/apple-hig-skills
Author or Maintainer
@raintree-technology (org under @zacharyr0th)
Short Description
Apple Human Interface Guidelines as 14 agent skills covering platforms, foundations, components (layout, controls, dialogs, menus, search, status, system, content), patterns, inputs, and technologies for iOS, macOS, visionOS, watchOS, and tvOS design decisions. Built on the agentskills.io spec.
Installation Instructions
Clone or copy the skill directories into .claude/skills/:
git clone https://github.com/raintree-technology/apple-hig-skills.git
cp -r apple-hig-skills/.claude/skills/* ~/.claude/skills/
Why This Resource is Valuable
This is the only agent skills package that provides comprehensive Apple Human Interface Guidelines coverage. It enables AI coding assistants to give accurate, platform-specific design guidance for all Apple platforms instead of generic UI advice. Each of the 14 skills uses progressive disclosure to stay token-efficient while providing deep HIG knowledge on demand.
Display Name
Apple HIG Skills
Category
Agent Skills
GitHub Repository URL
https://github.com/raintree-technology/apple-hig-skills
Author or Maintainer
@raintree-technology (org under @zacharyr0th)
Short Description
Apple Human Interface Guidelines as 14 agent skills covering platforms, foundations, components (layout, controls, dialogs, menus, search, status, system, content), patterns, inputs, and technologies for iOS, macOS, visionOS, watchOS, and tvOS design decisions. Built on the agentskills.io spec.
Installation Instructions
Clone or copy the skill directories into
.claude/skills/:Why This Resource is Valuable
This is the only agent skills package that provides comprehensive Apple Human Interface Guidelines coverage. It enables AI coding assistants to give accurate, platform-specific design guidance for all Apple platforms instead of generic UI advice. Each of the 14 skills uses progressive disclosure to stay token-efficient while providing deep HIG knowledge on demand.