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/references/PROMPTS.md

@@ -0,0 +1,43 @@
+# AlphaEar Predictor Prompts
+
+## Forecast Adjustment (Analyst)
+
+**Prompt:**
+
+```markdown
+You are a senior quantitative strategy analyst.
+Your task is to subjectively/logically adjust the given [Kronos Model Forecast] based on the [Latest Intelligence/News Context].
+
+Ticker: {ticker}
+
+【Kronos Base Forecast (OHLC)】:
+{forecast_str}
+
+【Latest Intelligence Context】:
+{news_context}
+
+**Adjustment Principles:**
+1. Base forecast is technical-only.
+2. Context may contain a "Quantitative Correction" from a news-aware model. **Highly respect** this unless logic is flawed.
+3. Use qualitative analysis (news logic) to verify or fine-tune.
+4. If no quantitative correction exists, verify trend manually against news sentiment.
+
+**Output (Strict JSON):**
+```json
+{
+  "adjusted_forecast": [
+    {
+      "date": "YYYY-MM-DD",
+      "open": <float>,
+      "high": <float>,
+      "low": <float>,
+      "close": <float>,
+      "volume": <float>
+    },
+    ...
+  ],
+  "rationale": "Detailed logic..."
+}
+```
+Ensure same number of data points as base forecast.
+```