ai-content-publisher

Discover and rank AI topics from RSS and GitHub sources for WeChat publication.

66|14|Updated Jan 21, 2026
One-click install
npx skills add https://github.com/solar-luna/Fully-automatic-article-generation-skill --skill ai-content-publisher
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-content-publisher
Source: https://github.com/solar-luna/Fully-automatic-article-generation-skill/tree/main/skills/ai-content-publisher
Command: npx skills add https://github.com/solar-luna/Fully-automatic-article-generation-skill --skill ai-content-publisher

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires feedparser, requests, pyyaml, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the end-to-end workflow of AI content production: discovering timely hotspots, smart topic selection, dynamic title creation, long-form article generation, and publishing to WeChat (drafts) or Xiaohongshu. It eliminates manual bottlenecks and ensures content remains fresh and aligned with 48-hour hotspot trends, helping content teams and solo creators save time and maintain publishing cadence.

Core Features & Use Cases

  • 自动热点获取: from RSS/GitHub sources to surface AI hotspots within the last 48 hours, with de-duplication.
  • 智能选题与评分: evaluate candidates with time-slot aware scoring and select the top topic to maximize relevance and impact.
  • 标题生成: generate compelling, realistic titles that reflect the topic and content type.
  • 文章生成与格式化: produce high-quality 2000-3000字文章 via wechat-tech-writer and convert to微信 HTML with wechat-article-formatter.
  • 封面选择: mandatory cover image selection from the official cover library, ensuring consistent visuals.
  • 发布与分发: publish to 微信草稿箱 (and optionally Xiaohongshu) with standardized metadata and formatting.
  • 质量与合规: integrated content quality checks and deduplication to maintain high standards and reduce repetitive topics.

Quick Start

  • 复制配置模板并填入密钥:cp config/config.example.sh config/config.sh 然后编辑密钥。
  • 启动日常流程:bash skills/ai-content-publisher/auto_publish.sh
  • 查看产出:output/{日期}/article/ 其中 article.md、cover.png 与 article_wechat.html
  • 如需手动测试选题:python3 scripts/selector.py

Frequently Asked Questions about ai-content-publisher

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

FAQPage Schema
How do I automate WeChat article generation from AI hotspots?

Automating WeChat article generation involves fetching AI hotspots from RSS and GitHub, applying time-slot aware scoring for topic selection, and producing a 2000-3000 word article formatted into WeChat HTML for draft publication.

What is the best way to track 48-hour AI hotspots for content publication?

The best way to track 48-hour AI hotspots is using automated RSS and GitHub source fetching with built-in de-duplication, ensuring discovered topics remain fresh and aligned with current trends for content publication.

Can I publish generated content directly to Xiaohongshu from RSS sources?

Yes, you can publish generated content to Xiaohongshu as an optional target alongside WeChat drafts, taking the AI topic selection and formatted article output to distribute standardized metadata to your desired platforms.

Do I need PyYAML and feedparser to run AI topic selection scripts?

Yes, you need PyYAML, feedparser, and requests installed, as these Python dependencies are required to parse RSS feeds, manage configurations, and execute the internal scripts for AI topic selection and publication.

How to convert markdown to WeChat HTML for automated article generation?

Converting markdown to WeChat HTML during automated article generation is handled by an internal formatter component after the long-form article is produced, outputting standardized HTML compatible with WeChat publication.