- alphaear-deepear-lite: DeepEar Lite API integration - alphaear-logic-visualizer: Draw.io XML finance diagrams - alphaear-news: Real-time finance news (10+ sources) - alphaear-predictor: Kronos time-series forecasting - alphaear-reporter: Professional financial reports - alphaear-search: Web search + local RAG - alphaear-sentiment: FinBERT/LLM sentiment analysis - alphaear-signal-tracker: Signal evolution tracking - alphaear-stock: A-Share/HK/US stock data Updates: - All scripts updated to use universal .env path - Added JINA_API_KEY, LLM_*, DEEPSEEK_API_KEY to .env.example - Updated load_dotenv() to use ~/.config/opencode/.env
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1.2 KiB
name, description
| name | description |
|---|---|
| alphaear-logic-visualizer | Create visualize finance logic diagrams (e.g., Draw.io XML) to explain complex finance transmission chains or finance logic flows. |
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.mdto convert your logical chain into XML. - Save/Render: Use
scripts/visualizer.pymethodrender_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")
Dependencies
- None (Standard Library for string manipulation).