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name: gate-news-briefing version: "2026.3.12-1" updated: "2026-03-12" description: "News briefing. Use this skill whenever the user asks for recent news or headlines. Trigger phrases include: what happened recently, today's highlights, crypto news, any new updates. MCP tools: news_events_get_latest_events, news_feed_search_news, news_feed_get_social_sentiment."

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.

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Routing Rules

User Intent	Keywords	Action
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

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Execution Workflow

Step 1: Intent Recognition & Parameter Extraction

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")

Step 2: Call 3 MCP Tools in Parallel

General Briefing Mode (no specific coin):

Step	MCP Tool	Parameters	Retrieved Data	Parallel
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 importance	Yes
1c	news_feed_get_social_sentiment	(no specific coin)	Market-wide social sentiment overview	Yes

Coin-Specific Mode (user specified a coin):

Step	MCP Tool	Parameters	Retrieved Data	Parallel
1a	news_events_get_latest_events	coin={coin}, time_range={time_range}, limit=10	Events related to that coin	Yes
1b	news_feed_search_news	coin={coin}, sort_by="importance", limit=10	News related to that coin	Yes
1c	news_feed_get_social_sentiment	coin={coin}	Social sentiment for that coin	Yes

Step 3: LLM Aggregation

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

Step 4: Output Structured Briefing

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Report Template

## Crypto Industry News Briefing

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

### 🔴 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}**
- ...

---

### 📰 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. ...

---

### 💬 Social Sentiment

| Metric | Status |
|--------|--------|
| 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)

| Rank | Coin | Volume Change | Sentiment |
|------|------|--------------|-----------|
| 1 | {coin} | +{change}% | {Bullish/Bearish} |
| 2 | ... | ... | ... |

---

### 📌 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.

Coin-Specific Mode Template

## {symbol} News Briefing

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

### Recent Key Events

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

### Related News

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

### Social Sentiment

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

### Summary

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

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De-duplication & Ranking Logic

Rule	Description
Event-News de-duplication	If an event title closely matches a news headline (similarity > 80%), merge into one entry — events take priority
Importance ranking	Events ranked by impact rating; news ranked by importance field
Time ordering	At equal importance, reverse chronological (newest first)
Categorization	News auto-categorized: Regulation & Policy / Projects & Technology / Market & Trading / DeFi / Other

---

Error Handling

Error Type	Handling
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 fail	Return error message; suggest the user try again later
Too few news items (< 3)	Expand time range (e.g., 24h → 48h) and note the change

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Cross-Skill Routing

User Follow-up Intent	Route 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")

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Safety Rules

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