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