58f9380ec4
- 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
1.1 KiB
1.1 KiB
name, description
| name | description |
|---|---|
| alphaear-reporter | Plan, write, and edit professional financial reports; generate finance chart configurations. Use when condensing finance analysis into a structured output. |
AlphaEar Reporter Skill
Overview
This skill provides a structured workflow for generating professional financial reports. It includes planning, writing, editing, and creating visual aids (charts).
Capabilities
Capabilities
1. Generate Structured Reports (Agentic Workflow)
YOU (the Agent) are the Report Generator. Use the prompts in references/PROMPTS.md to progressively build the report.
Workflow:
- Cluster Signals: Read input signals and use the Cluster Signals Prompt to group them.
- Write Sections: For each cluster, use the Write Section Prompt to generate analysis.
- Assemble: Use the Final Assembly Prompt to compile the report.
2. Visualization Tools
Use scripts/visualizer.py to generate chart configurations if needed manually, though the Writer Prompt usually handles this via json-chart blocks.
Dependencies
sqlite3(built-in)