list-china-today-macro-news
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。
By fatfingererr · 417 installs
npx skills add fatfingererr/macro-skills --skill list-china-today-macro-news
Source repository · Upstream listing
今日中國宏觀新聞 Skill
🔗 Based on [news aggregator skill](../../../vendor/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:
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"
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:
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
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
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](../../../vendor/news aggregator skill) by Anthropic