Crypto News Tracking and PANews Automation Workflow: A Practical Guide to Agent Skill Sets (Introduction)

This project provides a complete set of Agent skill sets, focusing on cryptocurrency news tracking and PANews workflow automation. It supports converting news pages into Agent-readable Markdown format, offering an efficient toolchain for Web3 content creators, researchers, and other professionals to enhance information acquisition and processing efficiency.

Project Background and Requirement Analysis

In the cryptocurrency and Web3 fields, the efficiency of information acquisition directly affects investment decisions and research quality. As an important Chinese blockchain media platform, PANews publishes a large amount of industry content daily, but traditional manual browsing is inefficient and cannot meet the needs of batch processing. The rise of AI Agent technology provides possibilities for automated information processing, and this project develops an Agent skill toolset for cryptocurrency news processing based on this.

Core Function Modules

1. Cryptocurrency News Tracking Module: Monitors multi-source news from PANews, CoinDesk, etc., supports theme/project/keyword configuration, and automatically filters and pushes relevant content.
2. PANews Workflow Automation Module: Deeply integrates with PANews, supports automatic login, article crawling, classification and archiving, metadata extraction, and scheduled task scheduling.
3. Content Conversion Module: Converts HTML pages from PANews and other platforms into Agent-friendly Markdown format, retains structure and extracts metadata for subsequent AI processing.

Technical Implementation Architecture and Agent Integration

Technical Architecture

• News tracking: Based on RSS subscriptions + web crawlers, combined with scheduled scheduling and intelligent deduplication to achieve multi-source aggregation.
• PANews automation: Uses Playwright/Selenium to simulate user operations, with built-in anti-crawling strategies (frequency control, User-Agent rotation, etc.) and cleans irrelevant content.
• Content conversion: Custom HTML-to-Markdown converter, optimized for news DOM structure, handles elements like images/links/tables.

Agent Integration

• Provides clear API interfaces, supporting integration with mainstream Agent frameworks such as LangChain and AutoGen.
• Supports triggering processes via natural language commands (e.g., monitoring news on specific topics and summarizing/pushing), and allows custom expansion of new skills.

Usage Scenarios and Application Value

• Investors/Traders: Obtain market dynamics and project announcements in real-time to assist trading decisions, supporting news monitoring related to price alerts.
• Researchers/Analysts: Batch obtain historical articles to build datasets for text mining and trend analysis; converted Markdown is easy to import into analysis tools.
• Content Creators: Monitor hot topics and competitor dynamics, quickly gain industry insights, and structured summaries improve content production efficiency.

Data Security and Compliance Considerations

• Network requests use HTTPS encryption; sensitive information (e.g., login credentials) is stored via environment variables/key management.
• Respect content copyright; crawled data is for personal learning and research only, not for commercial redistribution, and complies with the target website's terms of service and robots.txt protocol.
• Does not provide investment advice; users need to independently judge decision risks.

Deployment Configuration and Future Development

Deployment and Configuration

• Supports local installation (Python3.8+) and Docker containerized deployment; requires configuration of news source API keys, PANews accounts, and notification channels (email/Slack, etc.), with flexible adjustment of scheduled tasks and filtering rules.

Future Development

• Support more language news sources (Japanese/Korean, European markets); integrate advanced NLP models for intelligent summarization and sentiment analysis; develop a visual dashboard to display news trends; explore integration with on-chain data platforms for correlation analysis.

Project Summary

This project provides a practical Agent skill toolset for Web3 professionals. Through automated news monitoring, content crawling, and format conversion, it significantly improves information processing efficiency. Whether you are an investor, researcher, or content creator, you can benefit from it and focus on high-value analysis and decision-making. As the Web3 industry develops, such automated tools will play an increasingly important role.