Skill Positioning
This skill is used toautomatically fetch the latest global financial news, through gildata-aidata financial data services obtain structured data and public sentiment, intelligently screen high-impact events, and generatestructured brief summary reports. It is suitable for users to quickly obtain daily financial hotspots, market trends, and investment opportunity references.
Core Features：
- Automatically capture the latest financial information (within 24-72 hours)
- Intelligently screen high-impact events
- Structured categorized summary
- Concise and easy-to-understand briefing format
Trigger Scenarios
This skill should be triggered when the user expresses any of the following:
| User Expression | Trigger Type |
|---|---|
| "What financial hotspots are there today" | Proactive capture |
| "Global financial news summary" | Targeted search |
| "Financial news summary" | Proactive capture |
| "Help me see what major events are happening in the financial markets today" | Proactive capture |
| "What investment hotspots are there recently" | Proactive capture |
| "What news is there recently in the XX industry" | Targeted search |
| "Generate a financial briefing" | Proactive capture |
| "What is happening in the market today" | Proactive capture |
Note: Even if the user only says short expressions such as "financial hotspots" or "financial news", as long as the intent is to obtain the latest financial information, this skill should also be triggered.
Execution Flow
Step 1: Determine the search scope and time
1.1 Get the current date
Call finx time to get the current date, used to determine the news time range.
finx time
1.2 Determine search keywords
Extract core keywords based on user input:
- User-specified industry/topic → use the specified keywords
- User did not specify → use general keywords such as "today's financial hotspots macro market"
1.3 Determine the time range
- By default, search for news within the last 24-72 hours
- User-specified time → adjust according to the user's request
Step 2: Use the gildata-aidata service to query data
Core Principle: Prioritize using gildata-aidata professional financial data tools in the service to ensure the authority, structure, and timeliness of the data.
2.1 Public sentiment and news retrieval
Use gildata-aidata public sentiment tools to obtain multi-dimensional financial information:
| Data Dimension | Recommended Tool | Query Example (query parameter) |
|---|---|---|
| Whole-network hotspots | NewsInfoList |
"today's financial hotspots major events" |
| Macro policy | MacroNewslist |
"Today's macro policy central bank Ministry of Finance economic data" |
| Policy meetings | PolicyMeetingsList |
"Latest policy meetings economy and finance" |
| Official speeches | OfficialSpeechEventList |
"Central bank governor Ministry of Finance officials important speeches" |
| Market dynamics | MarketNewslist |
"Today's stock market bond market forex market commodities dynamics" |
| Industry news | IndustryNewslist |
"Semiconductors new energy AI pharmaceuticals latest industry progress" |
| Industry flash news | IndustryNewsFlash |
"Today's industry flash news industry headlines" |
| Stock sentiment | StockNewslist |
"Tech stocks new energy leaders financial reports performance" |
| Bond sentiment | SecurityNewslist |
"Credit bonds defaults rating adjustments" |
| Fund sentiment | FundNewsList |
"Public funds fund managers position adjustments" |
2.2 Market Quotes and Market Data Retrieval Obtain major market index quotes, capital flows, and macro data:
| Data dimension | Recommended tool | Query example (query parameter) |
|---|---|---|
| A-share indices | IndexDailyQuote |
"Shanghai Composite Index Shenzhen Component Index ChiNext Index today's market" |
| Hong Kong stock indices | HKDailyIndexQuote |
"Hang Seng Index Hang Seng Tech today's market" |
| U.S. stock indices | USStockDailyQuotes |
"Dow Jones S&P 500 Nasdaq today's market" |
| Market statistics | StockMarketTradeStats |
"Today's A-share trading volume turnover number of advancers and decliners" |
| Capital flows | StockMarketCapitalFlow |
"Today's northbound capital southbound capital flows" |
| Macro data | MacroIndustryEDB |
"Latest GDP CPI PMI aggregate financing industrial enterprise profits" |
| Research report views | MacroeconomicAnalysisViewpoints |
"Macro research report views economic outlook" |
2.3 Query Strategy
- Parallel queries: Initiate parallel requests to tools across multiple dimensions to improve efficiency.
- Query construction: Use concise and clear keyword combinations, such as
"今日 宏观 政策"or"2026-04-28 上证指数 行情". Adding a date can improve accuracy. - Data cross-validation: Important data (such as index gains and losses, macro data) can be verified through multiple tools or
web_search. - Fallback mechanism: If
gildata-aidatareturns insufficient data or cannot cover specific overseas details, you can callweb_searchto supplement.
Step 3: News Screening and Classification
3.1 Screening criteria
| Dimension | Criteria |
|---|---|
| Timeliness | Prioritize within 24 hours, no longer than 72 hours |
| Influence | Policy > macro data > industry events > company developments |
| Popularity | Reported by multiple media outlets > single source |
| Relevance | High match with the user-specified topic |
3.2 Classification system
Classify the screened news into the following categories:
| Category | Included content |
|---|---|
| Macro events | National policies, economic data, central bank decisions, geopolitics |
| Market performance | Stock market, bond market, forex market, commodities market |
| Industry Trends | Industry policies, supply and demand changes, price fluctuations, technological breakthroughs |
| Company News | Earnings releases, mergers and acquisitions, executive changes, major contracts |
| Investment Opportunities | Analyst views, institutional research reports, hot topics |
3.3 Importance Rating
Rate the importance of each news item:
| Rating | Criteria | Label |
|---|---|---|
| S-level | Major events affecting global/national markets | 🔴 |
| A-level | Important events affecting industries/sectors | 🟠 |
| B-level | Routine events affecting some companies | 🟡 |
| C-level | General information | 🟢 |
Step 4: Generate Briefing Report
4.1 Report Structure Template
# 📊 全球财经要闻简报
**日期**：YYYY 年 MM 月 DD 日
**时段**：最近 24 小时 / 最近 72 小时
---
## 🔴 核心头条（S 级事件）
[1-3 条最重要新闻，每条包含标题 + 一句话摘要 + 影响分析]
---
## 📈 市场表现概览
| 市场/指数 | 最新值 | 涨跌幅 | 核心驱动 |
|-----------|--------|--------|----------|
| 上证指数 | XXXX | +X.XX% | [驱动因素] |
| 深证成指 | XXXX | +X.XX% | [驱动因素] |
| 恒生指数 | XXXX | +X.XX% | [驱动因素] |
| 标普 500 | XXXX | +X.XX% | [驱动因素] |
| 纳斯达克 | XXXX | +X.XX% | [驱动因素] |
| 原油 (WTI) | XX 美元 | +X.XX% | [驱动因素] |
| 黄金 | XX 美元 | +X.XX% | [驱动因素] |
| 美元/人民币 | X.XXXX | +X.XX% | [驱动因素] |
---
## 🏛️ 宏观与政策
[宏观事件分类汇总，每条包含：事件简述 + 影响分析]
---
## 🏢 行业动态
### 利好行业
| 行业 | 驱动事件 | 影响逻辑 |
|------|----------|----------|
| [行业] | [事件] | [逻辑] |
### 承压行业
| 行业 | 驱动事件 | 影响逻辑 |
|------|----------|----------|
| [行业] | [事件] | [逻辑] |
---
## 💼 重点公司新闻
| 公司 | 事件类型 | 事件简述 | 市场反应 |
|------|----------|----------|----------|
| [公司] | [类型] | [简述] | [反应] |
---
## 💡 投资机会提示
[基于新闻分析的投资机会，包含受益板块和相关个股参考]
| 主题/板块 | 逻辑 | 关注标的 | 风险等级 |
|-----------|------|----------|----------|
| [主题] | [逻辑] | [标的] | 高/中/低 |
---
## ⚠️ 风险提示
1. [主要风险点 1]
2. [主要风险点 2]
3. [主要风险点 3]
---
## 📅 近期关注
| 时间 | 事件 | 潜在影响 |
|------|------|----------|
| [日期] | [事件] | [影响] |
---
> **数据来源**：Gildata-aidata 金融数据服务、权威财经媒体
> **更新时间**：YYYY-MM-DD HH:MM:SS
> **免责声明**：本简报仅供参考，不构成投资建议。市场有风险，投资需谨慎。
4.2 Content Generation Principles
- Conciseness First: Keep each news summary within 50 characters
- Highlight Key Points: Place S-level events at the very front and mark them prominently
- Accurate Data: Market data must be labeled with source and timeliness
- Clear Logic: Impact analysis must have clear cause-and-effect relationships
- Objective and Neutral: Avoid subjective speculation and base analysis on facts
Step 5: Special Scenario Handling
Scenario 1: User specifies an industry/theme
When the user specifies a particular industry or theme (e.g., "semiconductor industry news", "latest developments in new energy vehicles"):
- Extract the keywords specified by the user
- Search for news in that field in a targeted manner (e.g.,
IndustryNewslist） - Keep the report structure unchanged, but focus the content on the specified field
- Add in-depth analysis of that field
Scenario 2: User requests scheduled push
When the user requests a daily/weekly scheduled financial briefing push:
- Use the
crontool to create a scheduled task - The task payload includes an instruction to invoke this skill
- Set an appropriate push time (e.g., 8 AM on trading days)
Example:
cron --action add --taskName "每日财经简报" --description "每个交易日早晨生成全球财经要闻简报" --schedule '{"triggerType": "CRON", "cron": "0 0 8 * * MON-FRI"}' --payload '{"userInput": "生成一份最近 24 小时的全球财经要闻简报，包含核心头条、市场表现、宏观政策、行业动态、投资机会和风险提示。"}'
Scenario 3: Major Breaking Events
When a major breaking event is detected (e.g., war, financial crisis, sudden policy change):
- Add a "⚠️ Breaking Major Event" section at the beginning of the report
- Explain the event background, developments, and potential impact in detail
- Increase the weight of risk warnings
- Advise the user to pay close attention to subsequent developments
Scenario 4: Market Closed/Holidays
When the market is closed or it is a holiday:
- Explain the market closure in the report
- Summarize important news during the closure period
- Highlight key points to watch after the market opens next week
Tool Usage Instructions
| Tool | Purpose | Call Example |
|---|---|---|
finx time |
Get current date and time | finx time |
gildata-aidata NewsInfoList |
Full-network public opinion search | finx gildata-aidata NewsInfoList --body '{"query": "今日财经热点"}' |
gildata-aidata MacroNewslist |
Macro public opinion | finx gildata-aidata MacroNewslist --body '{"query": "宏观政策"}' |
gildata-aidata MarketNewslist |
Market public opinion | finx gildata-aidata MarketNewslist --body '{"query": "股市债市"}' |
gildata-aidata IndexDailyQuote |
A-share index daily quotes | finx gildata-aidata IndexDailyQuote --body '{"query": "上证指数"}' |
gildata-aidata USStockDailyQuotes |
U.S. stock daily quotes | finx gildata-aidata USStockDailyQuotes --body '{"query": "标普500"}' |
gildata-aidata MacroIndustryEDB |
Macroeconomic data | finx gildata-aidata MacroIndustryEDB --body '{"query": "GDP CPI"}' |
web_search |
Supplementary search (Fallback) | web_search --query "财经热点" --numResults 10 |
cron |
Create scheduled task | cron --action add ... |
Quality Checklist
Before outputting the report, check the following items:
- News timeliness meets requirements (24-72 hours)
- Core headlines are accurately selected (S-level event judgment is reasonable)
- Classification logic is clear (macro/market/industry/company)
- Market data source and timeliness are labeled
- Impact analysis has logical support
- Risk warnings are sufficient
- Report format conforms to the template
- Disclaimer has been added
- Data sources are labeled
- No duplicate news
- Important events are not omitted
Notes
- Data timeliness: Market data must be labeled with the specific time to avoid misleading users
- Objective and neutral: Analysis should be based on facts, avoiding subjective assumptions and emotional expressions
- Adequate risk: Major risk points must be highlighted, especially major uncertain events
- Disclaimer: Every report must include a disclaimer
- Conciseness first: Briefings are best kept within 1500 words, with key points highlighted
- Authoritative sources: Prefer to use
gildata-aidatafinancial data services - Multi-source verification: Important news is recommended to be cross-verified with multiple data sources
- Sensitive information: For sensitive topics such as geopolitics, maintain objective statements
- User customization: Adjust the report's level of detail and focus areas based on the user's historical preferences
- Fallback mechanism: When
gildata-aidatacannot obtain certain data, automatically downgrade to useweb_search
Skill version: v2.0 (Refactored version)
Last updated：2026-04-28
Maintainer: Dianjin Intelligent Assistant