时事日报分析

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name: daily-news-reporter description: | An AI-assisted international news reporting tool that helps generate professional daily reports through structured workflows and multi-source verification frameworks. IMPORTANT: This is NOT a fully automated/unattended system. It requires an AI agent (like Claude, GPT, or WorkBuddy) to execute the core information gathering steps using web search tools. The bundled scripts provide: - Structured data models for source tiering and verification - PDF report generation from Markdown - Report templates and formatting utilities - Source directory references Use this skill when you need: - Structured workflows for international news reporting - Multi-tier source verification frameworks (Tier 1-4) - Professional PDF report generation - Standardized templates for daily news summaries Requires: AI agent with web search capabilities for data collection

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Daily News Reporter

AI-Assisted international news reporting toolkit with structured workflows and multi-source verification.

⚠️ Important Clarification

This skill is NOT a fully automated/unattended system. It operates as an AI-assisted workflow toolkit:

| Component | What It Does | Who/What Executes | |-----------|--------------|-------------------| | news_collector.py | Data models, source classification, verification logic | AI Agent uses these structures | | generate_pdf.py | Converts Markdown reports to PDF | Runs automatically | | SKILL.md | Workflow instructions for AI | AI follows these guidelines | | Web Search | Actual information gathering | AI Agent executes via search tools | | Analysis | Content analysis and insight generation | AI Agent performs |

Bottom line: This skill provides the *framework and tools* for professional news reporting, but requires an AI agent with web search capabilities to perform the actual data collection and analysis.

Overview

This skill provides structured workflows and utilities for generating professional daily international affairs reports:

1. Structured Information Collection - Tiered source system and verification frameworks 2. Source Verification Guidelines - Cross-reference methodologies and reliability indicators 3. Content Analysis Framework - Impact assessment and trend analysis guidelines 4. Report Generation Tools - Markdown-to-PDF conversion and templates

When to Use

Use this skill when:

You need structured workflows for international news reporting

You want consistent multi-tier source verification (Tier 1-4 system)

You need professional PDF report generation from Markdown

You want standardized templates for daily news summaries

You're an AI agent helping a user generate news reports

Do NOT expect: Fully automated, unattended 24/7 news monitoring without AI involvement.

Core Workflow (AI-Executed)

Step 1: Information Collection (AI Agent Executes)

The AI agent performs web searches using the tiered source guidance:

Search Guidance for AI:

Use web search tools to query current news

Prioritize Tier 1 sources when available

Collect 6-10 sources across different tiers

Document source URLs and timestamps

Tier 1 - Official/International Organizations (Reliability: 5/5)

UN News (news.un.org)

International Maritime Organization (imo.org)

Central bank official statements (federalreserve.gov, etc.)

Government foreign ministry statements

Tier 2 - Professional Financial Media (Reliability: 4-5/5)

Bloomberg, Reuters, CNBC

Trading Economics

金十数据 (for Chinese market perspective)

Tier 3 - Mainstream International Media (Reliability: 4/5)

CNN, BBC, AP News

Major national news outlets

Tier 4 - Regional/Industry Sources (Reliability: 2-3/5)

Local news for specific regions

Industry publications

Use with caution, require verification

Recommended Search Queries:

"[Date] international news global hot topics"
"[Organization] latest statement [topic]"
"[Market/commodity] price [date] latest"
"site:un.org [topic]"  # For official sources
"site:federalreserve.gov latest"

Step 2: Information Processing (AI Agent Executes)

Source Verification (AI performs):

Cross-reference key facts across minimum 2 independent sources

Prioritize Tier 1 sources for critical information

Flag information from Tier 3-4 sources with reliability indicators

Use news_collector.py data structures to organize sources

Structured Information Format:

Event:
  - Time: [timestamp with timezone]
  - Location: [specific location]
  - Key Actors: [entities involved]
  - Verified Facts: [from Tier 1-2 sources]
  - Context: [background from multiple sources]
  - Impact: [market/geopolitical analysis]

Step 3: Content Analysis (AI Agent Executes)

Impact Assessment Framework: | Severity | Criteria | Examples | |----------|----------|----------| | ⭐⭐⭐⭐⭐ | Global impact, major powers involved, market shock | War escalation, central bank policy shifts | | ⭐⭐⭐⭐ | Regional impact, economic consequences | Energy supply disruptions, trade conflicts | | ⭐⭐⭐ | Localized but significant | National policy changes, major corporate events | | ⭐⭐ | Limited impact | Routine diplomatic activities | | ⭐ | Minor interest | Local news, minor incidents |

Trend Analysis Guidelines:

Identify patterns across multiple events

Compare with historical precedents

Assess trajectory (escalating/stable/de-escalating)

Step 4: Report Generation (AI + Scripts)

AI Actions: 1. Populate report template with collected data 2. Apply source attribution tags ([Official], [Professional], etc.) 3. Write analysis and insights 4. Save as Markdown file

Automated Script Execution:

# Convert Markdown to PDF (runs automatically)
python scripts/generate_pdf.py --input report.md --output report.pdf

Source Reliability Framework

Tier 1 - Official/International (Reliability: 5/5)

Use for: Critical facts, official statements, verified data

Examples: UN agencies, central banks, government statements

Attribution tag: [Official], [Organization name]

Tier 2 - Professional Financial (Reliability: 4-5/5)

Use for: Market data, economic analysis, policy interpretation

Examples: Bloomberg, Reuters, Trading Economics

Attribution tag: [Professional], [Source name]

Tier 3 - Mainstream Media (Reliability: 4/5)

Use for: Event coverage, general news, context

Examples: CNN, BBC, major national outlets

Attribution tag: [International], [Source name]

Tier 4 - Regional/Industry (Reliability: 2-3/5)

Use for: Supplementary context, specific angles

Examples: Local news, industry blogs

Attribution tag: [Regional/Industry], [Source name], verification recommended

Scripts and Utilities

news_collector.py

Purpose: Data models and structures for source management Usage:

from scripts.news_collector import NewsCollector, NewsItem, NewsSource
collector = NewsCollector()
sources = collector.get_sources_by_topic('energy')
Use data structures to organize collected information

Note: This is a data structure utility, NOT an automated web scraper.

generate_pdf.py

Purpose: Convert Markdown reports to professionally formatted PDF Usage:

python scripts/generate_pdf.py --input report.md --output report.pdf

Note: This runs automatically, no AI involvement required.

Source Directory (references/source_directory.md)

Purpose: Reference list of recommended information sources Usage: AI consults this when planning search strategy

Report Templates

Templates available in assets/templates/:

daily_report_template.md - Standard daily report format with placeholders

Use as starting point, AI fills in content

Best Practices for AI Agents

1. Always verify critical information across at least 2 Tier 1-2 sources 2. Timestamp all data with timezone and source publication time 3. Distinguish facts from analysis - clearly label opinions/forecasts 4. Include contradictory information when sources disagree, with attribution 5. Update risk assessments based on new developments 6. Archive sources - maintain links/references for fact-checking 7. Be honest about limitations - acknowledge when information is incomplete

Quality Checklist

Before finalizing report:

[ ] All Tier 1 facts verified with official sources

[ ] Market data from Tier 2 financial sources

[ ] Impact ratings justified with evidence

[ ] Contradictory information noted

[ ] Source attribution complete with tier tags

[ ] Timestamps accurate

[ ] PDF generated successfully

[ ] No placeholder text remaining

[ ] Clear distinction between facts and AI analysis

Limitations and Disclaimers

System Limitations

NOT unattended/fully automated - Requires AI agent for data collection

Information delayed by search indexing (typically 1-2 hours)

Cannot access paywalled content

Language limitations for non-English/non-Chinese sources

Content Limitations

Analysis based on publicly available information

Predictions subject to rapid change in volatile situations

No real-time data feeds - relies on search tools

Source availability depends on search engine indexing

Appropriate Use

✅ AI-assisted research and reporting

✅ Structured news summaries

✅ Educational/analytical purposes

✅ Personal information aggregation

Inappropriate Use

❌ Unattended automated news service

❌ Real-time trading decisions without verification

❌ Replacement for professional journalism

❌ Source of truth for critical decisions without human review

Example Usage

User Request: "Generate today's international news report"

AI Agent Execution: 1. Read SKILL.md to understand workflow 2. Use web search tools to query current news (6-10 sources) 3. Apply tiered verification framework 4. Structure information using news_collector.py patterns 5. Write analysis following impact assessment guidelines 6. Generate Markdown using template 7. Run generate_pdf.py to create PDF 8. Present both formats to user

Output: Professional daily report in Markdown and PDF formats

Technical Requirements

For AI Agent

Web search capability (web_search tool or equivalent)

Ability to read and execute Python scripts

Markdown processing capability

PDF viewing/verification capability

For Script Execution

Python 3.8+

reportlab library (pip install reportlab)

Standard library only for news_collector.py

Files Included

daily-news-reporter/
├── SKILL.md                          # This file - workflow instructions
├── scripts/
│   ├── news_collector.py            # Data structures (not a scraper)
│   └── generate_pdf.py              # PDF generation tool
├── references/
│   └── source_directory.md          # Source reference list
└── assets/
    └── templates/
        └── daily_report_template.md # Report template

License and Attribution

This skill provides frameworks and tools for news reporting. Users are responsible for:

Verifying information accuracy

Complying with source website terms of service

Proper attribution of quoted sources

Responsible use of generated content

Summary

| Feature | Status | Notes | |---------|--------|-------| | Automated PDF generation | ✅ Yes | generate_pdf.py | | Structured workflows | ✅ Yes | SKILL.md guidelines | | Source tiering framework | ✅ Yes | Tier 1-4 system | | Automated web scraping | ❌ No | AI performs searches | | Unattended 24/7 operation | ❌ No | Requires AI agent | | Real-time data feeds | ❌ No | Search-based only |

Bottom line: This is an AI-assisted toolkit, not a fully autonomous news bot.