今日中國宏觀新聞 Skill

🔗 Based on news-aggregator-skill | 專注於中國宏觀經濟新聞的垂直擴展

從多個中文財經新聞源抓取並篩選中國宏觀經濟相關新聞，提供 AI 深度解讀。

Tools

fetch_china_macro_news.py

Usage:

### 基本用法：抓取華爾街日報的中國宏觀新聞
python scripts/fetch_china_macro_news.py --source wallstreetcn --limit 15

### 多源掃描：華爾街日報 + 36氪
python scripts/fetch_china_macro_news.py --source wallstreetcn,36kr --limit 10

### 深度抓取（下載文章內容）
python scripts/fetch_china_macro_news.py --source wallstreetcn --limit 10 --deep

智慧關鍵字擴展 (Smart Keyword Expansion)

CRITICAL: 當用戶給出簡單關鍵字時，自動擴展覆蓋相關領域：

• 用戶: "利率" -> Agent 使用: --keyword "利率,LPR,MLF,降息,加息,PBOC,央行"
• 用戶: "通膨" -> Agent 使用: --keyword "通膨,CPI,PPI,物價,通縮"
• 用戶: "貿易" -> Agent 使用: --keyword "貿易,進出口,順差,關稅,海關"

# Example: User asked for "央行新聞" (Note the expanded keywords)
python scripts/fetch_china_macro_news.py --source wallstreetcn --limit 20 --keyword "央行,PBOC,利率,LPR,MLF,降息,降準" --deep

Arguments:

• --source: One of wallstreetcn, 36kr, all (default: wallstreetcn).
• --limit: Max items per source (default 15).
• --keyword: Comma-separated filters (default: 宏觀相關關鍵字).
• --deep: [NEW] Enable deep fetching. Downloads and extracts the main text content of the articles.

Output: JSON array. If --deep is used, items will contain a content field associated with the article text.

預設宏觀關鍵字

腳本預設使用以下關鍵字篩選中國宏觀新聞：

央行,PBOC,利率,LPR,MLF,降息,降準,
GDP,PMI,CPI,PPI,通膨,通縮,
經濟,宏觀,財政,貨幣政策,
貿易,進出口,順差,逆差,
就業,失業,消費,零售,
房地產,樓市,投資,基建,
人民幣,匯率,外匯,
債券,國債,信貸,社融,M2

Interactive Menu

When the user says "今日中國宏觀新聞" (or similar "menu/help" triggers):

1. READ the content of templates.md in the skill directory.
2. DISPLAY the list of available commands to the user exactly as they appear in the file.
3. GUIDE the user to select a number or copy the command to execute.

Smart Time Filtering & Reporting (CRITICAL)

If the user requests a specific time window (e.g., "過去 X 小時") and the results are sparse (< 5 items):

1. Prioritize User Window: First, list all items that strictly fall within the user's requested time (Time < X).
2. Smart Fill: If the list is short, you MUST include high-value/high-heat items from a wider range (e.g. past 24h) to ensure the report provides at least 5 meaningful insights.
3. Annotation: Clearly mark these older items (e.g., "⚠️ 18h 前", "🔥 24h 熱點") so the user knows they are supplementary.
4. High Value: Always prioritize "重大政策", "央行動態", or "關鍵數據" items even if they slightly exceed the time window.

Response Guidelines (CRITICAL)

Format & Style:

• Language: 繁體中文 (zh-TW).
• Style: Magazine/Newsletter style (e.g., "財訊" or "華爾街日報" vibe). Professional, concise, yet engaging.
• Structure:
  • 🔥 頭條焦點: Top 3-5 most critical macro stories.
  • 💰 央行與貨幣政策: 利率、流動性相關.
  • 📊 經濟數據: GDP、PMI、CPI 等數據解讀.
  • 💱 匯率與市場: 人民幣、債券、股市相關.
• Item Format:
  • Title: MUST be a Markdown Link to the original URL.
    • ✅ Correct: ### 1. [央行宣布降準 0.5 個百分點](https://...)
    • ❌ Incorrect: ### 1. 央行宣布降準 0.5 個百分點
  • Metadata Line: Must include Source, Time/Date, and Heat/Score.
  • 1-Liner Summary: A punchy, "so what?" summary.
  • Deep Interpretation (Bulleted): 2-3 bullet points explaining why this matters, technical details, or context. (Required for "Deep Scan").

Output Artifact:

• Always save the full report to reports/ directory with a timestamped filename (e.g., reports/china_macro_YYYYMMDD_HHMM.md).
• Present the full report content to the user in the chat.
• CRITICAL: Report footer MUST include attribution line.

數據源說明

範例輸出

# 今日中國宏觀新聞摘要（2026-01-20）

> 掃描時間：11:30 | 來源：華爾街日報、36氪 | 共 12 條相關新聞

---

## 🔥 頭條焦點

### 1. [央行今日開展 5000 億 MLF 操作，利率持平](https://wallstreetcn.com/...)
📍 華爾街日報 | 🕐 09:45 | 🔥 高關注

央行維持 MLF 利率不變，符合市場預期。

- **核心要點**：本月 MLF 到期量 4500 億，淨投放 500 億
- **市場影響**：短期流動性維持寬鬆，LPR 大概率持平
- **後續觀察**：關注月末資金面與下月降準窗口

### 2. [12 月 PMI 回升至 50.1，製造業重返擴張區間](https://wallstreetcn.com/...)
📍 華爾街日報 | 🕐 10:00 | 🔥 重要數據

官方製造業 PMI 小幅回升，結束連續兩個月收縮。

- **數據亮點**：新訂單指數回升 0.3 個百分點
- **結構分化**：大型企業穩健，中小企業仍承壓
- **政策含義**：穩增長政策效果初顯，但基礎尚不穩固

---

## 💰 央行與貨幣政策

### 3. [1 月 LPR 報價出爐：1 年期 3.10%、5 年期 3.60% 均持平](https://...)
...

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*報告由 list-china-today-macro-news skill 自動生成*
*🔗 Powered by [news-aggregator-skill](https://github.com/anthropics/news-aggregator-skill)*

Attribution

This skill is built upon and extends the architecture of news-aggregator-skill.

• Core fetching patterns derived from news-aggregator-skill/scripts/fetch_news.py
• Report formatting follows the news-aggregator-skill Response Guidelines
• Smart Time Filtering logic adapted from news-aggregator-skill

🔗 Based on news-aggregator-skill by Anthropic