gate-news-briefing

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Chinese

gate-news-briefing

gate-news-briefing

The crypto industry "morning briefing" Skill. The user asks what's been happening; the system calls 3 MCP Tools in parallel to fetch major events + trending news + social sentiment, then the LLM aggregates into a layered news briefing.
Trigger Scenarios: User asks about recent/today's news, headlines, or what's been happening.

加密行业“早报”Skill。用户询问近期发生的事件时,系统会并行调用3个MCP工具获取重大事件+热点新闻+社交情绪,随后由LLM整合为分层结构的新闻简报。
触发场景:用户询问近期/今日新闻、头条动态或最近发生的事件。

Routing Rules

路由规则

User IntentKeywordsAction
General news briefing"what happened recently" "today's headlines" "crypto news" "any new updates"Execute this Skill's full workflow
Coin-specific news"any SOL news" "what's happening with BTC"Execute this Skill with
coin
parameter set to that coin
Reason for a move"why did BTC crash" "what just happened"Route to
gate-news-eventexplain
Overall market conditions"how's the market"Route to
gate-info-marketoverview
Exchange announcements"any new listings on Binance" "new coins lately"Route to
gate-news-listing

用户意图关键词操作
通用新闻简报"what happened recently" "today's headlines" "crypto news" "any new updates"执行此技能的完整工作流
指定币种新闻"any SOL news" "what's happening with BTC"执行此技能并将
coin
参数设置为对应币种
行情变动原因"why did BTC crash" "what just happened"路由至
gate-news-eventexplain
整体市场行情"how's the market"路由至
gate-info-marketoverview
交易所公告"any new listings on Binance" "new coins lately"路由至
gate-news-listing

Execution Workflow

执行工作流

Step 1: Intent Recognition & Parameter Extraction

步骤1:意图识别与参数提取

Extract from user input:
  • coin
    (optional): Whether a specific coin is targeted, e.g., "SOL news" → coin=SOL
  • time_range
    : Time window (default: 24h; if user says "this week" → 7d)
  • topic
    (optional): Whether focused on a specific topic (e.g., "regulation", "ETF", "DeFi")
从用户输入中提取:
  • coin
    (可选):是否指定了特定币种,例如“SOL新闻”→ coin=SOL
  • time_range
    :时间窗口(默认:24小时;如果用户说“this week”→7天)
  • topic
    (可选):是否聚焦特定主题(例如“regulation”、“ETF”、“DeFi”)

Step 2: Call 3 MCP Tools in Parallel

步骤2:并行调用3个MCP工具

General Briefing Mode (no specific coin):
StepMCP ToolParametersRetrieved DataParallel
1a
news_events_get_latest_events
time_range={time_range}, limit=10
Major event list (with impact rating)Yes
1b
news_feed_search_news
sort_by="importance", limit=10, lang="en"
Top news ranked by importanceYes
1c
news_feed_get_social_sentiment
(no specific coin)Market-wide social sentiment overviewYes
Coin-Specific Mode (user specified a coin):
StepMCP ToolParametersRetrieved DataParallel
1a
news_events_get_latest_events
coin={coin}, time_range={time_range}, limit=10
Events related to that coinYes
1b
news_feed_search_news
coin={coin}, sort_by="importance", limit=10
News related to that coinYes
1c
news_feed_get_social_sentiment
coin={coin}
Social sentiment for that coinYes
通用简报模式(无指定币种):
步骤MCP工具参数获取数据并行执行
1a
news_events_get_latest_events
time_range={time_range}, limit=10
重大事件列表(含影响力评级)
1b
news_feed_search_news
sort_by="importance", limit=10, lang="en"
按重要性排序的 top 新闻
1c
news_feed_get_social_sentiment
(无指定币种)全市场社交情绪概览
指定币种模式(用户指定了币种):
步骤MCP工具参数获取数据并行执行
1a
news_events_get_latest_events
coin={coin}, time_range={time_range}, limit=10
对应币种相关事件
1b
news_feed_search_news
coin={coin}, sort_by="importance", limit=10
对应币种相关新闻
1c
news_feed_get_social_sentiment
coin={coin}
对应币种社交情绪

Step 3: LLM Aggregation

步骤3:LLM聚合

The LLM must:
  1. De-duplicate events and news (the same event may appear in both feeds)
  2. Rank by impact/importance
  3. Categorize (Regulation, Projects, Market, Technology, etc.)
  4. Combine with social sentiment to identify market focus areas
LLM必须完成以下操作:
  1. 对事件和新闻去重(同一事件可能同时出现在两个信息流中)
  2. 按影响力/重要性排序
  3. 分类(监管、项目、市场、技术等)
  4. 结合社交情绪识别市场关注领域

Step 4: Output Structured Briefing

步骤4:输出结构化简报



Report Template

报告模板

markdown
undefined
markdown
undefined

Crypto Industry News Briefing

Crypto Industry News Briefing

Time range: Past {time_range} | Generated: {timestamp}
Time range: Past {time_range} | Generated: {timestamp}

🔴 Major Events

🔴 Major Events

{Top 1-3 events by impact, each containing:}
1. {event_title}
  • Time: {event_time}
  • Impact: {Market/industry impact assessment}
  • Involved: {Related coins/projects/institutions}
  • Details: {2-3 sentence summary}
2. {event_title}
  • ...

{Top 1-3 events by impact, each containing:}
1. {event_title}
  • Time: {event_time}
  • Impact: {Market/industry impact assessment}
  • Involved: {Related coins/projects/institutions}
  • Details: {2-3 sentence summary}
2. {event_title}
  • ...

📰 Trending News

📰 Trending News

{Grouped by category, 2-5 items per category:}
Regulation & Policy
  1. {title} — {source} ({time}) {One-sentence summary}
  2. ...
Projects & Technology
  1. {title} — {source} ({time}) {One-sentence summary}
  2. ...
Market & Trading
  1. {title} — {source} ({time}) {One-sentence summary}
  2. ...
DeFi / NFT / GameFi (if applicable)
  1. ...

{Grouped by category, 2-5 items per category:}
Regulation & Policy
  1. {title} — {source} ({time}) {One-sentence summary}
  2. ...
Projects & Technology
  1. {title} — {source} ({time}) {One-sentence summary}
  2. ...
Market & Trading
  1. {title} — {source} ({time}) {One-sentence summary}
  2. ...
DeFi / NFT / GameFi (if applicable)
  1. ...

💬 Social Sentiment

💬 Social Sentiment

MetricStatus
Overall Sentiment{Bullish/Bearish/Neutral}
Discussion Volume{High/Medium/Low}
Trending Topics{topic1}, {topic2}, {topic3}
KOL Focus{focus description}
Top 5 Coins by Discussion Volume (if data available)
RankCoinVolume ChangeSentiment
1{coin}+{change}%{Bullish/Bearish}
2.........

MetricStatus
Overall Sentiment{Bullish/Bearish/Neutral}
Discussion Volume{High/Medium/Low}
Trending Topics{topic1}, {topic2}, {topic3}
KOL Focus{focus description}
Top 5 Coins by Discussion Volume (if data available)
RankCoinVolume ChangeSentiment
1{coin}+{change}%{Bullish/Bearish}
2.........

📌 Worth Watching

📌 Worth Watching

{LLM distills 2-3 noteworthy points from news and sentiment:}
  • {Point 1}
  • {Point 2}
  • {Point 3}
The above is a news summary and does not constitute investment advice.
undefined
{LLM distills 2-3 noteworthy points from news and sentiment:}
  • {Point 1}
  • {Point 2}
  • {Point 3}
The above is a news summary and does not constitute investment advice.
undefined

Coin-Specific Mode Template

指定币种模式模板

markdown
undefined
markdown
undefined

{symbol} News Briefing

{symbol} News Briefing

Time range: Past {time_range} | Generated: {timestamp}
Time range: Past {time_range} | Generated: {timestamp}

Recent Key Events

Recent Key Events

  1. {event} — {time} {details}
  2. ...
  1. {event} — {time} {details}
  2. ...

Related News

Related News

  1. {title} — {source} ({time}) {summary}
  2. ...
  1. {title} — {source} ({time}) {summary}
  2. ...

Social Sentiment

Social Sentiment

  • Discussion Volume: {High/Medium/Low} (vs 7-day average: {change}%)
  • Sentiment Bias: {Bullish/Bearish/Neutral}
  • KOL Views: {Summary of key KOL opinions}
  • Discussion Volume: {High/Medium/Low} (vs 7-day average: {change}%)
  • Sentiment Bias: {Bullish/Bearish/Neutral}
  • KOL Views: {Summary of key KOL opinions}

Summary

Summary

{1-2 sentence summary of the coin's recent news landscape}

---
{1-2 sentence summary of the coin's recent news landscape}

---

De-duplication & Ranking Logic

去重与排序逻辑

RuleDescription
Event-News de-duplicationIf an event title closely matches a news headline (similarity > 80%), merge into one entry — events take priority
Importance rankingEvents ranked by impact rating; news ranked by
importance
field
Time orderingAt equal importance, reverse chronological (newest first)
CategorizationNews auto-categorized: Regulation & Policy / Projects & Technology / Market & Trading / DeFi / Other

规则描述
事件与新闻去重如果事件标题与新闻标题高度匹配(相似度>80%),合并为一个条目,事件内容优先级更高
重要性排序事件按影响力评级排序;新闻按
importance
字段排序
时间排序重要性相同时,按倒序时间排列(最新的在前)
分类规则新闻自动分类:监管与政策/项目与技术/市场与交易/DeFi/其他

Error Handling

错误处理

Error TypeHandling
news_events_get_latest_events
fails
Skip "Major Events" section; show news only
news_feed_search_news
fails
Show events only; note "News feed temporarily unavailable"
news_feed_get_social_sentiment
fails
Skip "Social Sentiment" section
All Tools failReturn error message; suggest the user try again later
Too few news items (< 3)Expand time range (e.g., 24h → 48h) and note the change

错误类型处理方式
news_events_get_latest_events
调用失败
跳过“重大事件”板块,仅展示新闻
news_feed_search_news
调用失败
仅展示事件,标注“新闻源暂时不可用”
news_feed_get_social_sentiment
调用失败
跳过“社交情绪”板块
所有工具调用失败返回错误信息,建议用户稍后重试
新闻条目过少(<3条)扩大时间范围(例如24小时→48小时)并标注本次调整

Cross-Skill Routing

跨技能路由

User Follow-up IntentRoute To
"Why did XX pump/dump?"
gate-news-eventexplain
"Analyze XX for me"
gate-info-coinanalysis
"How's the overall market?"
gate-info-marketoverview
"Any new listings on Binance?"
gate-news-listing
"Tell me more about ETF"Deep search via
news_feed_search_news(query="ETF")

用户后续意图路由至
"Why did XX pump/dump?"
gate-news-eventexplain
"Analyze XX for me"
gate-info-coinanalysis
"How's the overall market?"
gate-info-marketoverview
"Any new listings on Binance?"
gate-news-listing
"Tell me more about ETF"调用
news_feed_search_news(query="ETF")
进行深度搜索

Safety Rules

安全规则

  1. Source attribution: Every news item must include the source (media name) and time
  2. No interpretive speculation: News summaries must remain objective — no subjective extrapolation
  3. No fabricated news: If data is insufficient, reduce the number of items rather than fabricate content
  4. Neutral handling of sensitive topics: Maintain neutral tone when covering regulation, politics, or other sensitive subjects
  5. Timeliness labeling: Clearly label the time range covered by the data
  1. 来源标注:每条新闻必须标注来源(媒体名称)和时间
  2. 不做解释性推测:新闻摘要必须保持客观,不得进行主观推断
  3. 不编造新闻:如果数据不足,减少条目数量而非编造内容
  4. 敏感话题中立处理:报道监管、政治或其他敏感主题时保持中立语气
  5. 时效性标注:明确标注数据覆盖的时间范围