Alphaear Logic Visualizer

If you need to explain complex financial logic flows or investment signal chains to stakeholders, this generates Draw.io XML diagrams that you can actually open and edit. It's built around an agentic workflow where Claude follows prompts from a reference file to convert your logical chains into visual diagrams, then renders them as HTML using a Python script. The focus is specifically on finance transmission chains, so it's pretty niche. Honestly most useful when you're trying to document how a trading signal propagates through a system or map out an investment thesis visually. Zero external dependencies, just standard library string work and a visualization script.

skills.sh installs: 499
GitHub stars: 3.1K
last updated: Aug 21, 2026

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Install

$ npx -y skills add rkiding/awesome-finance-skills --skill alphaear-logic-visualizer --agent claude-code

Installs into .claude/skills of the current project.

Files

AlphaEar Logic Visualizer Skill

Overview

This skill specializes in creating visual representations of logic flows, specifically generating Draw.io XML compatible diagrams. It is useful for visualizing investment theses or signal transmission chains.

Capabilities

1. Generate Draw.io Diagrams

1. Generate Draw.io Diagrams (Agentic Workflow)

YOU (the Agent) are the Visualizer. Use the prompts in references/PROMPTS.md to generate the XML.

Workflow:

Generate XML: Use the Draw.io XML Generation Prompt from references/PROMPTS.md to convert your logical chain into XML.
Save/Render: Use scripts/visualizer.py method render_drawio_to_html(xml_content, filename) to save the XML into a viewable HTML file for the user.

Example Usage (Conceptual):

Agent Action: "I will now generate a Draw.io XML for the transmission chain..."
Tool Call: visualizer.render_drawio_to_html(xml_content="<mxGraphModel>...", filename="chain_visual.html")