Agent skill · Business & Finance

alphaear-logic-visualizer

Create visualize finance logic diagrams (e.g., Draw.io XML) to explain complex finance transmission chains or finance logic flows.

RKidinggithub.com/RKidingGitHub ↗
claude-codeships scriptsApache-2.0
Install
npx skills add RKiding/Awesome-finance-skills --skill alphaear-logic-visualizer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 1 KB
Bundled scripts: yes
Path: skills/alphaear-logic-visualizer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,750
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

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About this skill
What does the alphaear-logic-visualizer skill do?

Create visualize finance logic diagrams (e.g., Draw.io XML) to explain complex finance transmission chains or finance logic flows.

How do I install it?

Run `npx skills add RKiding/Awesome-finance-skills --skill alphaear-logic-visualizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From RKiding/Awesome-finance-skills, a repository with 2,750 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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