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baokuan-article-analysis

Fetches WeChat Official Account hot articles by sector keywords and generates HTML analysis reports.

Updated Aug 16, 2026
Search Tags:#writing style#python#content analysis#wechat#html report#viral articles#hot articles
One-click install
npx skills add https://github.com/chuanyue98/skillhub --skill baokuan-article-analysis-chuanyue98
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: baokuan-article-analysis
Source: https://github.com/chuanyue98/skillhub/tree/main/vendored/SpaceZephyr/creator-buddy/gzh-Skills/baokuan-article-analysis
Command: npx skills add https://github.com/chuanyue98/skillhub --skill baokuan-article-analysis-chuanyue98

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve? Content creators and marketers lack a structured way to track which WeChat Official Account articles are going viral in their sector, and manually collecting reading, sharing, and comment metrics across keywords is slow and unsystematic. ## Core Features & Use Cases - Sector-Based Hot Article Fetching: Query a hot-article data source by sector keywords, merge results, deduplicate, and rank articles by a weighted engagement score. - HTML Analysis Report: Generate a visual report with KPI cards, bar charts, ranked article cards, writing style classification, hot-reason analysis, and reusable title formulas. - Configurable Windows and Sectors: Customize sectors via CLI flags or a JSON config, and adjust the lookback window with --days or --start-date. - Use Case: A content creator covering AI tools runs the script with sectors like 'AI Agent' and 'Claude Code' to get a daily report showing the highest-reading articles, common title patterns, and writing references for their next post. ## Quick Start Ask the AI to fetch the last 7 days of hot WeChat articles for the AI Agent sector and generate the analysis report.

Frequently Asked Questions about baokuan-article-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze viral WeChat Official Account articles by topic?▼

Run the bundled Python script with sector keywords, for example --sector 'AI Agent=AI Agent,智能体'. It queries the hot-article data source, deduplicates and ranks articles, then writes data.json and a visual report.html to your output directory.

What metrics does the WeChat hot article report include?▼

The report includes reading count, like count, share count, and comment count per article, plus a weighted data score. It also classifies articles into categories like low-fan high-reading and top-reading, and analyzes writing style and hot reasons.

Can I customize the sectors and time window for analysis?▼

Yes. Pass repeated --sector flags in the form 'name=keyword1,keyword2', or load a JSON config with --sector-config. Control the window with --days (default 7) or an explicit --start-date in YYYY-MM-DD format.

Why does a specific WeChat account return no data?▼

This skill returns sector-level hot-list data, not a specific account's complete history. If an account name returns nothing, switch to that account's topic keywords and compare same-sector articles, or extend the window with --days 30.

Does the reading count match the live WeChat backend data?▼

No. The clicksCount field is a snapshot from the public data source and may lag behind live WeChat backend reads. Use it for trend judgment and writing reference rather than exact real-time measurement.

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