seo-article-harvester

Name: seo-article-harvester
Availability: InStock
Author: HUMANERD

Monitor RSS feeds for SEO articles and generate weekly trend reports.

2|7|Updated Jun 19, 2026

Search Tags:#discord #seo #rss #article analysis #trend reporting

Ready to run

npx skills add https://github.com/humanerd-drew/opencode-drewgent --skill seo-article-harvester

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: seo-article-harvester
Source: https://github.com/humanerd-drew/opencode-drewgent/tree/main/skills/seo-article-harvester
Command: npx skills add https://github.com/humanerd-drew/opencode-drewgent --skill seo-article-harvester

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, feedparser, opencode-go/deepseek-v4-flash, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of monitoring RSS feeds for SEO articles, analyzing their content, and generating weekly trend reports, saving time and effort in SEO monitoring and analysis.

Core Features & Use Cases

RSS Feed Monitoring: Monitors and collects new SEO articles from specified RSS feeds.
Content Analysis: Analyzes collected articles for SEO relevance, key insights, and critical updates.
Trend Reporting: Generates weekly trend reports based on analyzed data and sends them to Discord.
Use Case: As an SEO professional, use this Skill to stay updated on the latest industry trends and insights, without manually checking multiple RSS feeds every day.

Quick Start

Start the SEO article harvester and provide it with the RSS feed URLs you want to monitor.

Frequently Asked Questions about seo-article-harvester

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

FAQPage Schema

How do I automate SEO article monitoring from RSS feeds?▼

You can automate SEO article monitoring by parsing RSS feeds to collect new articles, analyzing content for insights, and generating weekly trend reports. This process requires Python for script execution and feed parsing.

Can I send automated SEO trend reports directly to Discord?▼

Yes, automated SEO trend reports can be delivered directly to Discord. The harvester analyzes collected articles for key insights and pushes weekly trend reporting notifications to your specified Discord channel.

How does LLM content analysis work for SEO article insights?▼

LLM content analysis processes collected SEO articles to identify relevance, extract key insights, and detect critical industry updates. It leverages deepseek models to evaluate feed content and summarize trends for reporting.

Do I need Python to parse RSS feeds for weekly trend reporting?▼

Yes, Python is required to execute the scripts and parse RSS feeds using the feedparser dependency. This environment gathers the raw article data necessary for LLM analysis and trend report generation.

What is the best way to track SEO industry trends without checking feeds daily?▼

The best way to track SEO trends automatically is by harvesting articles from specified RSS feeds, running content analysis to extract key insights, and scheduling weekly trend reports sent to Discord.

What are the limitations of using RSS feeds for SEO content analysis?▼

RSS feed monitoring is limited to sources that provide valid feed URLs and depends on Python script execution. It cannot analyze content from websites lacking RSS feeds or behind authentication barriers.