eds-performance-debugging

ddttom/webcomponents-with-eds

A collection of lightweight, high-performance web components built with vanilla JavaScript and modern ES modules for Adobe Edge Delivery Services (EDS). This project provides reusable blocks that can be easily integrated into any AEM EDS project.

6 stars

1 forks

Python

70 views

View on GitHub Add to Favorites

Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/ddttom/webcomponents-with-eds/tree/main/.claude/skills/eds-performance-debugging

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/ddttom/webcomponents-with-eds/tree/main/.claude/skills/eds-performance-debugging ~/.claude/skills/webcomponents-with-eds

# Project-specific

git clone https://github.com/ddttom/webcomponents-with-eds/tree/main/.claude/skills/eds-performance-debugging .claude/skills/webcomponents-with-eds

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/ddttom/webcomponents-with-eds/tree/main/.claude/skills/eds-performance-debugging"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/ddttom/webcomponents-with-eds/tree/main/.claude/skills/eds-performance-debugging

Option 2: Clone to extensions directory

git clone https://github.com/ddttom/webcomponents-with-eds/tree/main/.claude/skills/eds-performance-debugging ~/.gemini/extensions/webcomponents-with-eds

Topics

Related Skills

skill-writer

Tensors and Dynamic neural networks in Python with strong GPU acceleration

xlsx

Public repository for Agent Skills

agno

The programming language for agentic software. Build, run, and manage multi-agent systems at scale.

youtube-downloader

A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows