kc-docs

Markedslabben/kc

Generate intelligent Python project documentation with UML class diagrams, architecture diagrams, and code analysis. Analyzes codebase structure to recommend and create appropriate visualizations for project overview.

0 stars

0 forks

7 views

View on GitHub Add to Favorites

Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/Markedslabben/kc/tree/main/skills/kc-docs

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/Markedslabben/kc/tree/main/skills/kc-docs ~/.claude/skills/kc

# Project-specific

git clone https://github.com/Markedslabben/kc/tree/main/skills/kc-docs .claude/skills/kc

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/Markedslabben/kc/tree/main/skills/kc-docs"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/Markedslabben/kc/tree/main/skills/kc-docs

Option 2: Clone to extensions directory

git clone https://github.com/Markedslabben/kc/tree/main/skills/kc-docs ~/.gemini/extensions/kc

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