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list-china-today-macro-news

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Original

English
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Translation

Chinese

今日中國宏觀新聞 Skill

今日中国宏观新闻 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。
🔗 Based on news-aggregator-skill | 专注于中国宏观经济新闻的垂直扩展
从多个中文财经新闻源抓取并筛选中国宏观经济相关新闻，提供 AI 深度解读。

Tools

Tools

fetch_china_macro_news.py

fetch_china_macro_news.py

Usage:
bash
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Usage:
bash
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基本用法：抓取華爾街日報的中國宏觀新聞

基本用法：抓取华尔街日报的中国宏观新闻

python scripts/fetch_china_macro_news.py --source wallstreetcn --limit 15
python scripts/fetch_china_macro_news.py --source wallstreetcn --limit 15

多源掃描：華爾街日報 + 36氪

多源扫描：华尔街日报 + 36氪

python scripts/fetch_china_macro_news.py --source wallstreetcn,36kr --limit 10
python scripts/fetch_china_macro_news.py --source wallstreetcn,36kr --limit 10

深度抓取（下載文章內容）

深度抓取（下载文章内容）

python scripts/fetch_china_macro_news.py --source wallstreetcn --limit 10 --deep
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python scripts/fetch_china_macro_news.py --source wallstreetcn --limit 10 --deep
undefined

智慧關鍵字擴展 (Smart Keyword Expansion)

智能关键字扩展 (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
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CRITICAL: 当用户给出简单关键字时，自动扩展覆盖相关领域：
  • 用户: "利率" -> Agent 使用: 
    --keyword "利率,LPR,MLF,降息,加息,PBOC,央行"
  • 用户: "通胀" -> Agent 使用: 
    --keyword "通胀,CPI,PPI,物价,通缩"
  • 用户: "贸易" -> Agent 使用: 
    --keyword "贸易,进出口,顺差,关税,海关"
bash
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Example: User asked for "央行新聞" (Note the expanded keywords)

Example: User asked for "央行新闻" (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.
python scripts/fetch_china_macro_news.py --source wallstreetcn --limit 20 --keyword "央行,PBOC,利率,LPR,MLF,降息,降准" --deep

**Arguments:**

- `--source`: One of `wallstreetcn`, `36kr`, `all` (default: wallstreetcn).
- `--limit`: Max items per source (default 15).
- `--keyword`: Comma-separated filters (default: 宏观相关关键字).
- `--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

预设宏观关键字

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
脚本预设使用以下关键字筛选中国宏观新闻：
央行,PBOC,利率,LPR,MLF,降息,降准,
GDP,PMI,CPI,PPI,通胀,通缩,
经济,宏观,财政,货币政策,
贸易,进出口,顺差,逆差,
就业,失业,消费,零售,
房地产,楼市,投资,基建,
人民币,汇率,外汇,
债券,国债,信贷,社融,M2

Interactive Menu

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.
When the user says "今日中国宏观新闻" (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)

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.
If the user requests a specific time window (e.g., "过去 X 小时") 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 热点") so the user knows they are supplementary.
  4. High Value: Always prioritize "重大政策", "央行动态", or "关键数据" items even if they slightly exceed the time window.

Response Guidelines (CRITICAL)

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.
Format & Style:
  • Language: 简体中文 (zh-CN).
  • Style: Magazine/Newsletter style (e.g., "财讯" or "华尔街日报" vibe). Professional, concise, yet engaging.
  • Structure:
    • 🔥 头条焦点: Top 3-5 most critical macro stories.
    • 💰 央行与货币政策: 利率、流动性相关.
    • 📊 经济数据: GDP、PMI、CPI 等数据解读.
    • 💱 汇率与市场: 人民币、债券、股市相关.
  • Item Format:
    • Title: MUST be a Markdown Link to the original URL.
      • ✅ Correct: 
        ### 1. [央行宣布降准 0.5 个百分点](https://...)
      • ❌ Incorrect: 
        ### 1. 央行宣布降准 0.5 个百分点
    • 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

数据源说明

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
来源说明适用场景
华尔街日报中国顶级财经媒体，宏观/市场新闻即时性强央行政策、市场动态、数据解读
36氪科技财经媒体，涵盖宏观经济快讯经济政策、产业动态

範例輸出

范例输出

markdown
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markdown
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今日中國宏觀新聞摘要（2026-01-20）

今日中国宏观新闻摘要（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
扫描时间：11:30 | 来源：华尔街日报、36氪 | 共 12 条相关新闻

🔥 頭條焦點

🔥 头条焦点

1. 央行今日開展 5000 億 MLF 操作，利率持平

1. 央行今日开展 5000 亿 MLF 操作，利率持平

📍 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
📍 华尔街日报 | 🕐 09:45 | 🔥 高关注
央行维持 MLF 利率不变，符合市场预期。
  • 核心要点：本月 MLF 到期量 4500 亿，净投放 500 亿
  • 市场影响：短期流动性维持宽松，LPR 大概率持平
  • 后续观察：关注月末资金面与下月降准窗口

2. 12 月 PMI 回升至 50.1，製造業重返擴張區間

2. 12 月 PMI 回升至 50.1，制造业重返扩张区间

📍 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
📍 华尔街日报 | 🕐 10:00 | 🔥 重要数据
官方制造业 PMI 小幅回升，结束连续两个月收缩。
  • 数据亮点：新订单指数回升 0.3 个百分点
  • 结构分化：大型企业稳健，中小企业仍承压
  • 政策含义：稳增长政策效果初显，但基础尚不稳固

💰 央行與貨幣政策

💰 央行与货币政策

3. 1 月 LPR 報價出爐：1 年期 3.10%、5 年期 3.60% 均持平

3. 1 月 LPR 报价出炉：1 年期 3.10%、5 年期 3.60% 均持平

...
報告由 list-china-today-macro-news skill 自動生成 🔗 Powered by news-aggregator-skill
undefined
...
报告由 list-china-today-macro-news skill 自动生成 🔗 Powered by news-aggregator-skill
undefined

Attribution

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
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