by raintree-technology · MCP Server · ★ 76
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Apple HIG Skills Agent-native Apple Human Interface Guidelines: a structured index of Apple's HIG delivered as Claude Skills, with an MCP server and a universal compliance auditor as the verification loop. Built for AI coding agents; usable by humans. Skills corpus — 14 skills and 156 reference topics covering the complete HIG (foundations, components, patterns, inputs, platforms, technologies). Snapshot dated 2025-02-02; canonical content remains at developer.apple.com/design/human-interface-guidelines. MCP server — stdio Model Context Protocol server exposing , , and for Claude Desktop, Cursor, Windsurf, and Claude Code. Audit CLI — universal HIG compliance scanner across 12 frameworks (SwiftUI, UIKit, React, Vue, Svelte, Angular, Compose, Android XML, React Native, Flutter, CSS, HTML). Emits severity-bucketed markdown/JSON with a pass/fail CI gate. Content is © Apple Inc.; this repository provides organization, cross-referencing, and detection rules for AI agent use. MIT-licensed for structure and tooling. Star History <source media="(prefers-color-scheme: dark)" srcset="https://api.star-histor
| Stars | 76 |
| Forks | 6 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 68.2536588612219/100 |
| Open Issues | 18 |
| Last Updated | 2026-06-30 |
| Created | 2026-02-09 |
| Platforms | claude-code, cli, mcp, node |
| Est. Tokens | ~17k |
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hig-doctor is Apple HIG audit CLI + 14 agent skills for AI coding assistants — score any project for HIG compliance across 12 frameworks. It is categorized as a MCP Server with 76 GitHub stars.
hig-doctor is primarily written in TypeScript. It covers topics such as accessibility, agent-skills, ai-agents.
You can find installation instructions and usage details in the hig-doctor GitHub repository at github.com/raintree-technology/hig-doctor. The project has 76 stars and 6 forks, indicating an active community.
The top alternatives to hig-doctor on Agent Skills Hub include agent-skills, fossil-mcp, agnix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.