apple-hig
Skill0 starsChanged 4 months agoNo licenceView on GitHub
Apple Human Interface Guidelines as a working reference — the visual and structural design system for iOS/iPadOS 26+ (Liquid Glass). Verbatim HIG corpus (171 pages) plus recovered hard specs — Dynamic Type scale, SF Pro tracking, system color hex, device metrics, layout margins. Use when building, reviewing, or converting UI that must look and behave Apple-native, on SwiftUI/UIKit or on the web. Covers components (buttons, sheets, tab bars, toolbars, lists, pickers), foundations (typography, color, layout, materials, icons, accessibility), and patterns (navigation, modality, onboarding, feedback, data entry). Trigger on "make this look like iOS", "Apple design", "HIG", "native iOS UI", "Liquid Glass", "system colors", "Dynamic Type", or any iOS design audit or spec question.
14 other projects use a version of this.
Adopted by
Most recently taken up by
- LOGIN-TB/claude-skillstheir own version, first seen Nov 1, 2026
- ykswang/apple-hig-skilltheir own version, first seen Nov 1, 2026
- AyushRajSinghParihar/apple-human-interface-skillstheir own version, first seen Nov 1, 2026
- yue1123/apple-hig-skillstheir own version, first seen Oct 21, 2026
- davidanthonyn/claude-skillstheir own version, first seen Oct 20, 2026
- vcompagnucci/skillstheir own version, first seen Oct 15, 2026
Other versions14 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 14
- skopevoj/spoti.pw★ 732same name
- justinwetch/HIGAgentSkills★ 682same name
- CamilleScholtz/swmpc★ 239same name
- LOGIN-TB/claude-skills★ 82same name
- AyushRajSinghParihar/apple-human-interface-skills★ 27same name
- yue1123/apple-hig-skills★ 8same name
- jhy0285/monofield★ 6same name
- ebuntario/apple-hig★ 4same name
- Elevatormusic/apple-hig★ 4same name
- ykswang/apple-hig-skill★ 4same name
4 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository12 other files it gives its agents.
- digestSkill
- documentSkill
- full-documentSkill
- gate-isolateSkill
- initiateSkill
- rls-auditSkill
- rls-enforceSkill
- runbookSkill
- seo-campaignSkill
- seo-healthSkill
- shipSkill
- technical-seo-auditSkill
The file
We split this skill into the rules it gives an agent
10 rules. 0 are common, 5 are distinctive, and 5 are very specific to this project.
0
Common
Most of the 8 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

