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
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skills/alphaear-news/SKILL.md
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name: alphaear-news
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description: Fetch hot finance news, unified trends, and prediction financial market data. Use when the user needs real-time financial news, trend reports from multiple finance sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket finance market prediction data.
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---
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# AlphaEar News Skill
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## Overview
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Fetch real-time hot news, generate unified trend reports, and retrieve Polymarket prediction data.
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## Capabilities
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### 1. Fetch Hot News & Trends
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Use `scripts/news_tools.py` via `NewsNowTools`.
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- **Fetch News**: `fetch_hot_news(source_id, count)`
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- See [sources.md](references/sources.md) for valid `source_id`s (e.g., `cls`, `weibo`).
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- **Unified Report**: `get_unified_trends(sources)`
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- Aggregates top news from multiple sources.
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### 2. Fetch Prediction Markets
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Use `scripts/news_tools.py` via `PolymarketTools`.
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- **Market Summary**: `get_market_summary(limit)`
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- Returns a formatted report of active prediction markets.
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## Dependencies
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- `requests`, `loguru`
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- `scripts/database_manager.py` (Local DB)
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