ui-design-guidelines

imaimai17468/custom-asmr

UI/UX design guidelines focusing on what AI commonly overlooks or fails to verify. **CRITICAL**: Emphasizes concrete checklists, measurement criteria, and verification steps that AI tends to skip during design reviews. Reference during Phase 1 (UI/UX Design Review).

0 stars

0 forks

6 views

View on GitHub Add to Favorites

Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/imaimai17468/custom-asmr/tree/main/.claude/skills/ui-design-guidelines

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/imaimai17468/custom-asmr/tree/main/.claude/skills/ui-design-guidelines ~/.claude/skills/custom-asmr

# Project-specific

git clone https://github.com/imaimai17468/custom-asmr/tree/main/.claude/skills/ui-design-guidelines .claude/skills/custom-asmr

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/imaimai17468/custom-asmr/tree/main/.claude/skills/ui-design-guidelines"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/imaimai17468/custom-asmr/tree/main/.claude/skills/ui-design-guidelines

Option 2: Clone to extensions directory

git clone https://github.com/imaimai17468/custom-asmr/tree/main/.claude/skills/ui-design-guidelines ~/.gemini/extensions/custom-asmr

Related Skills

skill-writer

Tensors and Dynamic neural networks in Python with strong GPU acceleration

docstring

Tensors and Dynamic neural networks in Python with strong GPU acceleration

at-dispatch-v2

Tensors and Dynamic neural networks in Python with strong GPU acceleration

add-uint-support

Tensors and Dynamic neural networks in Python with strong GPU acceleration