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:

bash

### 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"

bash

# 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：

code

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):

•READ the content of templates.md in the skill directory.
•DISPLAY the list of available commands to the user exactly as they appear in the file.
•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):

•Prioritize User Window: First, list all items that strictly fall within the user's requested time (Time < X).
•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.
•Annotation: Clearly mark these older items (e.g., "⚠️ 18h 前", "🔥 24h 熱點") so the user knows they are supplementary.
•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

來源	說明	適用場景
華爾街日報	中國頂級財經媒體，宏觀/市場新聞即時性強	央行政策、市場動態、數據解讀
36氪	科技財經媒體，涵蓋宏觀經濟快訊	經濟政策、產業動態

範例輸出

markdown

# 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://...)
...

---

*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