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-predictor/SKILL.md

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+---
+name: alphaear-predictor
+description: Market prediction skill using Kronos. Use when user needs finance market time-series forecasting or news-aware finance market adjustments.
+---
+
+# AlphaEar Predictor Skill
+
+## Overview
+
+This skill utilizes the Kronos model (via `KronosPredictorUtility`) to perform time-series forecasting and adjust predictions based on news sentiment.
+
+## Capabilities
+
+### 1. Forecast Market Trends
+
+### 1. Forecast Market Trends
+
+**Workflow:**
+1.  **Generate Base Forecast**: Use `scripts/kronos_predictor.py` (via `KronosPredictorUtility`) to generate the technical/quantitative forecast.
+2.  **Adjust Forecast (Agentic)**: Use the **Forecast Adjustment Prompt** in `references/PROMPTS.md` to subjectively adjust the numbers based on latest news/logic.
+
+**Key Tools:**
+-   `KronosPredictorUtility.get_base_forecast(df, lookback, pred_len, news_text)`: Returns `List[KLinePoint]`.
+
+**Example Usage (Python):**
+
+```python
+from scripts.utils.kronos_predictor import KronosPredictorUtility
+from scripts.utils.database_manager import DatabaseManager
+
+db = DatabaseManager()
+predictor = KronosPredictorUtility()
+
+# Forecast
+forecast = predictor.predict("600519", horizon="7d")
+print(forecast)
+```
+
+
+## Configuration
+
+This skill requires the **Kronos** model and an embedding model.
+
+1.  **Kronos Model**:
+    -   Ensure `exports/models` directory exists in the project root.
+    -   Place trained news projector weights (e.g., `kronos_news_v1.pt`) in `exports/models/`.
+    -   Or depend on the base model (automatically downloaded).
+
+2.  **Environment Variables**:
+    -   `EMBEDDING_MODEL`: Path or name of the embedding model (default: `sentence-transformers/all-MiniLM-L6-v2`).
+    -   `KRONOS_MODEL_PATH`: Optional path to override model loading.
+
+## Dependencies
+
+-   `torch`
+-   `transformers`
+-   `sentence-transformers`
+-   `pandas`
+-   `numpy`
+-   `scikit-learn`