Agent skill · AI & Agents

news-intelligence-agent

Batch news analyzer for /news page. Processes multiple news articles simultaneously, extracting sentiment, keywords, themes, and ticker mentions. Generates aggregated market intelligence including trending topics and ticker buzz scores.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill news-intelligence-agent --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 12 KB
Bundled scripts: none
Version: 1.0
Declared author: ai-trading-system
Requires: Requires news_articles table, NLP sentiment analysis, keyword extraction, theme clustering
Path: skills/analysis/news-intelligence-agent/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# News Intelligence Agent - 뉴스 인텔리전스 ## Role `/news` 페이지에서 **배치**로 여러 뉴스를 동시 분석하여 시장 전체 흐름을 파악합니다. ## Core Capabilities ### 1. Batch News Processing ```python async def analyze_batch( news_articles: List[NewsArticle], batch_size: int = 50 ) -> Dict: """Process multiple articles in parallel""" results = [] # Process in batches to avoid API rate limits for i in range(0, len(news_articles), batch_size): batch = news_articles[i:i+batch_size] # Parallel processing batch_results = await asyncio.gather(*[ analyze_single_article(article) for article in batch ]) results.extend(batch_results) return aggregate_batch_results(results) ``` ### 2. Sentiment Analysis #### Sentiment Scoring ```python def calculate_sentiment(text: str) -> float: """Calculate sentiment score -1 to +1""" # Positive keywords positive = ["surge", "beat", "record", "growth", "bullish", "upgrade"] # Negative keywords negative = ["plunge", "miss", "loss", "decline", "bearish", "downgrade"] # Count occurrences pos_count = sum(text.lower().count(word) for word in positive) neg_count = sum(text.lower().count(word) for word in negative) # Normalize total = pos_count + neg_count if total == 0: return 0.0 sentiment = (pos_count

What's inside
Steps it walks through
  1. Role
  2. Core Capabilities
  3. 1. Batch News Processing
  4. 2. Sentiment Analysis
  5. 3. Keyword Extraction
  6. 4. Theme Detection
  7. 5. Ticker Buzz Score
  8. Decision Framework
  9. Output Format
  10. Examples
  11. Guidelines
  12. Do's ✅
  13. Don'ts ❌
  14. Integration
Ships with 1 file
  • metadata.json
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About this skill
What does the news-intelligence-agent skill do?

Batch news analyzer for /news page. Processes multiple news articles simultaneously, extracting sentiment, keywords, themes, and ticker mentions. Generates aggregated market intelligence including trending topics and ticker buzz scores.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill news-intelligence-agent --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going