gate-news-briefing

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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.

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NPX Install

npx skill4agent add gate/gate-skills gate-news-briefing

Tags

Translated version includes tags in frontmatter

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.

Routing Rules

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

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):
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

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


Report Template

markdown
## 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

markdown
## {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}

De-duplication & Ranking Logic

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

Error Handling

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

Cross-Skill Routing

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")

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