What is detect-diagram-crossings?
Detect and analyze edge crossings and overlaps in SVG workflow diagrams using geometric intersection algorithms and visual analysis. Use when validating diagram layouts. Source: oocx/tfplan2md.
Detect and analyze edge crossings and overlaps in SVG workflow diagrams using geometric intersection algorithms and visual analysis. Use when validating diagram layouts.
Quickly install detect-diagram-crossings AI skill to your development environment via command line
Source: oocx/tfplan2md.
Purpose Provide a rigorous, multi-method approach to detecting edge crossings and overlaps in SVG flowchart diagrams. This skill combines mathematical geometric analysis with visual inspection to ensure diagrams have clean, crossing-free layouts.
Method 1: Parametric Line Intersection (Mathematical) The primary detection method uses parametric line equations to mathematically determine if two line segments intersect.
Method 2: Node-Path Proximity Analysis Detects when paths pass through or very close to node bodies (not at connection points).
Detect and analyze edge crossings and overlaps in SVG workflow diagrams using geometric intersection algorithms and visual analysis. Use when validating diagram layouts. Source: oocx/tfplan2md.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/oocx/tfplan2md --skill detect-diagram-crossingsDetect and analyze edge crossings and overlaps in SVG workflow diagrams using geometric intersection algorithms and visual analysis. Use when validating diagram layouts. Source: oocx/tfplan2md.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/oocx/tfplan2md --skill detect-diagram-crossings Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/oocx/tfplan2md