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-search/SKILL.md

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+---
+name: alphaear-search
+description: Perform finance web searches and local context searches. Use when the user needs general finance info from the web (Jina/DDG/Baidu) or needs to retrieve finance information from a local document store (RAG).
+---
+
+# AlphaEar Search Skill
+
+## Overview
+
+Unified search capabilities: web search (Jina/DDG/Baidu) and local RAG search.
+
+## Capabilities
+
+### 1. Web Search
+
+Use `scripts/search_tools.py` via `SearchTools`.
+
+-   **Search**: `search(query, engine, max_results)`
+    -   Engines: `jina`, `ddg`, `baidu`, `local`.
+    -   Returns: JSON string (summary) or List[Dict] (via `search_list`).
+-   **Smart Cache (Agentic)**: If you want to avoid redundant searches, use the **Search Cache Relevance Prompt** in `references/PROMPTS.md`. Read the cache first and decide if it's usable.
+-   **Aggregate**: `aggregate_search(query)`
+    -   Combines results from multiple engines.
+
+
+### 2. Local RAG
+
+Use `scripts/hybrid_search.py` or `SearchTools` with `engine='local'`.
+
+-   **Search**: Searches local `daily_news` database.
+
+## Dependencies
+
+-   `duckduckgo-search`, `requests`
+-   `scripts/database_manager.py` (search cache & local news)