| name | list-china-today-macro-news |
| description | 彙整今日中國宏觀經濟新聞消息，從華爾街日報、36氪等來源抓取並篩選宏觀相關新聞，輸出雜誌風格的新聞摘要。適用於交易/研究開盤前快速掌握中國宏觀動態。 |
| based_on | news-aggregator-skill |
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:
python scripts/fetch_china_macro_news.py --source wallstreetcn --limit 15
python scripts/fetch_china_macro_news.py --source wallstreetcn,36kr --limit 10
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"
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):
- 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
# 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
