AgentSkillsCN

journalism-economic-news

运用专业新闻学方法,研究并撰写影响金融资产(黄金、白银、纳斯达克、比特币)的经济与政治新闻。采用四步流程:影响筛选、主题分类、来源搜集、黄金标准式综合。

SKILL.md
--- frontmatter
name: journalism-economic-news
description: Professional journalism methodology for researching and writing economic/political news affecting financial assets (Gold, Silver, NASDAQ, Bitcoin). Applies 4-step process: impact screening, topic categorization, source gathering, gold-standard synthesis.
license: MIT
metadata:
  author: Clarke Project
  version: "1.0.0"

Economic & Political News Journalism

Professional news research and writing methodology for economic/political events impacting financial assets, optimized for AI-assisted workflows.

When to Apply

Use this skill when:

  • Researching economic/political events for news articles
  • Writing financial news in Vietnamese (academic style)
  • Analyzing asset impact of global events
  • Conducting multi-source research verification
  • Creating news content for financial dashboards

4-Step Methodology

StepCategoryPurpose
1Impact ScreeningIdentify high-impact events affecting Gold/Silver/NASDAQ/Bitcoin
2Topic CategorizationOrganize by: Monetary Policy, Geopolitics, Trade/Tariffs, Regulations, Economic Indicators
3Source GatheringCollect 3+ Tier 1-2 sources, extract data points, verify facts
4Gold-Standard SynthesisWrite 200-1000 words in Vietnamese, academic tone, data-driven, subtle asset implications

Quality Standards

Content Requirements

  • Title: ≤120 characters (Vietnamese)
  • Description: 200-1000 words (Vietnamese, academic style)
  • Minimum 5 concrete data points (numbers, percentages, dates)
  • Minimum 2 expert quotes with credentials
  • 3+ credible sources (Tier 1: official data, Tier 2: major outlets)
  • Logical cause-effect relationships explained
  • Asset impacts implied through context (not explicitly stated)

Writing Principles

  • Word economy: eliminate redundancy, use precise terminology
  • Academic tone: formal, analytical, data-driven
  • Context-rich: historical comparisons, regional implications
  • Multiple perspectives: diverse expert opinions
  • Natural flow: data points woven throughout (not listed)

Rule Categories

Impact Screening

  • Identify market volatility triggers
  • Monitor central bank statements, policy changes
  • Track geopolitical developments, trade conflicts
  • Screen economic indicators (GDP, inflation, employment)

Source Credibility Hierarchy

Tier 1 (Primary): Official statements, government data, central bank reports, IMF/World Bank publications

Tier 2 (Major outlets): Bloomberg, Reuters, Financial Times, Wall Street Journal, reputable economists

Tier 3 (Analysis): Industry reports, think tank analysis, academic research

Topic Categories

  • Monetary Policy: Interest rates, QE/QT, inflation targeting
  • Geopolitical Tensions: Conflicts, sanctions, territorial disputes
  • Trade & Tariffs: Trade wars, supply chain disruptions, resource competition
  • Regulatory Changes: Financial regulations, crypto frameworks, compliance
  • Economic Indicators: GDP, employment, manufacturing, consumer sentiment
  • Regional Economics: Emerging markets, specific country developments

Quick Reference Example

Greenland Case Study (see rules/example-greenland.md):

  • Trump's 200% tariff threat → specific data point
  • Multiple expert quotes (Dr. Klare, Dr. Skogstad) with credentials
  • Trade data (502B USD EU-US, 1.4M tonnes rare earth) integrated naturally
  • Asset impacts implied through supply chain logic (not stated: "NASDAQ will fall")
  • Logical structure: Context → Threat → Response → Expert Analysis → Data → Resolution

Full Documentation

For complete methodology with examples: AGENTS.md For research templates: rules/