Import 9 alphaear finance skills

- 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

skills/alphaear-reporter/SKILL.md

@@ -0,0 +1,32 @@
+---
+name: alphaear-reporter
+description: 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:**
+1.  **Cluster Signals**: Read input signals and use the **Cluster Signals Prompt** to group them.
+2.  **Write Sections**: For each cluster, use the **Write Section Prompt** to generate analysis.
+3.  **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)
+