Fetch hot news, unified trends, and prediction market data. Use when the user needs real-time financial news, trend reports from multiple sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket prediction data.
Scanned 9/2/2026
Install to Claude Code
npx -y skills add majiayu000/claude-skill-registry --skill alphaear-news --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: alphaear-news
description: Fetch hot news, unified trends, and prediction market data. Use when the user needs real-time financial news, trend reports from multiple sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket prediction data.
---
# AlphaEar News Skill
## Overview
This skill provides comprehensive capabilities to fetch real-time hot news, generate unified trend reports from multiple platforms, and retrieve prediction market data from Polymarket. It is designed for financial analysis and signal discovery.
## Capabilities
### 1. Fetch Hot News & Unified Trends
Use `scripts/news_tools.py` to interact with the NewsNow API.
**Key Methods:**
- `fetch_hot_news(source_id, count)`: Get hot news list from a specific source.
- **Sources**: `cls` (Cailian Press), `wallstreetcn`, `weibo`, `zhihu`, `baidu`, `toutiao`, `douyin`, `thepaper`, `36kr`.
- `get_unified_trends(sources)`: Get a unified report aggregating top news from specified sources.
- `fetch_news_content(url)`: Extract main content from a URL using Jina Reader.
**Example Usage (Python):**
```python
from scripts.database_manager import DatabaseManager
from scripts.news_tools import NewsNowTools
db = DatabaseManager()
tools = NewsNowTools(db)
# 1. Fetch specific source
cls_news = tools.fetch_hot_news("cls", count=10)
print(cls_news)
# 2. Get unified report
report = tools.get_unified_trends(["cls", "wallstreetcn", "weibo"])
print(report)
# 3. Fetch content
content = tools.fetch_news_content("https://example.com/article")
```
### 2. Fetch Prediction Market Data
Use `scripts/news_tools.py` (specifically `PolymarketTools` class) to get data from Polymarket.
**Key Methods:**
- `get_active_markets(limit)`: Get active prediction markets.
- `get_market_summary(limit)`: Get a formatted summary report of prediction markets.
**Example Usage (Python):**
```python
from scripts.database_manager import DatabaseManager
from scripts.news_tools import PolymarketTools
db = DatabaseManager()
poly_tools = PolymarketTools(db)
# Get market summary
summary = poly_tools.get_market_summary(limit=10)
print(summary)
```
## Dependencies
- `requests`
- `loguru`
- `pandas` (via DatabaseManager)
- `sqlite3` (built-in)
Ensure these packages are installed in the environment. JINA_API_KEY environment variable is optional but recommended for better content extraction.
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