Can I use it for specific WeChat accounts?

Absolutely, you can target individual accounts like '量子位' or fetch from your entire list of followed accounts.

How does the article ranking system work?

It uses a 6-tier priority algorithm that scores articles based on keywords related to AI Agents, System Design, and GitHub projects to highlight the most relevant content.

Does it support Obsidian integration?

Yes, it automatically generates structured Markdown reports with YAML frontmatter and saves them directly to your Obsidian vault.

Can I filter articles by specific dates?

Yes, the skill supports fetching articles from yesterday, specific dates, or custom date ranges to keep your research focused.

Does it filter out marketing spam?

Yes, the skill includes a quality filter designed to remove promotional content and duplicate articles, ensuring only high-value information is saved.

WeChat Article Fetcher & Research Analyst

Name: WeChat Article Fetcher & Research Analyst
Author: ppx123-web

byppx123-web

Web Scraping & Data Collection

Fetches and ranks WeChat articles based on research interests with seamless Obsidian integration.

About

This skill automates the discovery and curation of technical content from WeChat Official Accounts, specifically tailored for researchers and developers. It intelligently ranks articles using a multi-tier priority system focusing on AI Agents, System Design, and GitHub projects. By providing automated date filtering, quality assessment, and direct export to Obsidian vaults in structured Markdown, it transforms raw social media content into a searchable, categorized knowledge base for daily research and academic tracking.

Key Features

Direct Obsidian integration with structured frontmatter, internal links, and tagging.
0 GitHub stars
Quality-based filtering to remove marketing noise, ads, and low-value content.
Flexible fetching from specific accounts or all followed subscriptions.
Automated date filtering for daily summaries or historical research.
Intelligent ranking based on specific research interests like AI Agents and System Design.

Use Cases

Automated discovery and cataloging of trending GitHub open-source projects.
Thematic literature reviews across multiple WeChat technical blogs for system design insights.
Automated daily morning research briefings focused on the latest AI and LLM trends.

About

Key Features

Direct Obsidian integration with structured frontmatter, internal links, and tagging.
0 GitHub stars
Quality-based filtering to remove marketing noise, ads, and low-value content.
Flexible fetching from specific accounts or all followed subscriptions.
Automated date filtering for daily summaries or historical research.
Intelligent ranking based on specific research interests like AI Agents and System Design.

Use Cases

Automated discovery and cataloging of trending GitHub open-source projects.
Thematic literature reviews across multiple WeChat technical blogs for system design insights.
Automated daily morning research briefings focused on the latest AI and LLM trends.