Dammyjay93/interface-design

Design engineering for Claude Code. Craft, memory, and enforcement for consistent UI.

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Summary Information

Updated 10 minutes ago
Added to GitGenius on September 11th, 2026
Created on January 5th, 2026
Open Issues & Pull Requests: 8 (+0)
GitHub issues: Enabled
Number of forks: 364
Total Stargazers: 5,692 (+0)
Total Subscribers: 40 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.0 days
Mean response time: 10.7 days
90th percentile: 33.4 days
Tracked items: 8

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 12% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 4
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 189 days
Stale 30+ days: 4
Stale 90+ days: 4

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

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Most active issues this week

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Detailed Description

Interface Design is a design system tool for Claude Code that helps maintain consistent UI decisions across coding sessions.

The tool addresses the problem of design drift when building interfaces with AI coding agents. Without structure, visual decisions like spacing, colors, and component dimensions become inconsistent across sessions. Interface Design solves this by letting you establish design principles once, save them to a system file, and reload them automatically when you start work. The approach centers on three capabilities: crafting principle-based interfaces with real visual hierarchy, saving design decisions to persistent memory, and enforcing those decisions consistently throughout your work. When an image-generation tool is available, you can also explore direction boards and visual references to guide the agent's output.

The tool is built specifically for application interfaces—dashboards, admin panels, and tools—rather than marketing sites. It works as a skill that integrates with Claude Code and other agent-compatible platforms. Installation uses a CLI that detects your agent and places the skill in the appropriate location. The README emphasizes that you should review installed skills before use, as they run with the same permissions as your coding agent.

Development activity shows consistent engagement with the project's core purpose. The tool maintains an active homepage documenting its approach and providing examples of before-and-after results. The project includes explicit compatibility guidance for multiple agents, indicating ongoing attention to supporting different platforms. Documentation covers practical installation paths for different agent types and includes a compatibility matrix for reference.