skills.rest
LazyIsEfficient
LazyIsEfficientOFFICIAL
Explore all skills by this author โ†’
GitHub

seo-ops

Automate keyword research and competitive gap analysis using Google Search Console and Ahrefs data.

15|3|Updated Apr 9, 2026
Search Tags:#content strategy#keyword research#ai automation#competitor analysis#seo#gsc#trend detection
One-click install
npx skills add https://github.com/LazyIsEfficient/agentic-os --skill seo-ops
Or copy as Structured Prompt for Agentโ–ผ
Please help me install this Agent Skill.
Skill: seo-ops
Source: https://github.com/LazyIsEfficient/agentic-os/tree/main/.claude/skills/seo-ops
Command: npx skills add https://github.com/LazyIsEfficient/agentic-os --skill seo-ops

SYSTEM DOCUMENTATION & REQUIREMENTS

๐Ÿ’ก This Skill requires requests, google-api-python-client, google-auth, google-auth-httplib2, and includes scripts (resource) and references (resource) components.

What problem does it solve?

AI-powered SEO operations automate keyword research, competitor gap analysis, Google Search Console optimization, and trend detection to surface opportunities and streamline workflows.

Core Features & Use Cases

  • Full keyword intelligence pipeline combining content fingerprint, Ahrefs data, GSC data, and competitor gaps to prioritize targets.
  • GSC optimization and trend detection to surface quick-win keywords and rising topics for content strategy.
  • Trend Scout and competitor-gap analysis to identify content opportunities and defend against traffic declines.

Quick Start

Configure environment variables, run gsc_auth to authorize access, then execute the four tools to generate a weekly keyword brief and trend insights.

Frequently Asked Questions about seo-ops

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

FAQPage Schema
How do I automate keyword research and competitor gap analysis for SEO?โ–ผ

You can automate keyword research and competitor gap analysis by running Python scripts that fetch data from Google Search Console and Ahrefs to produce ranked keyword insights and identify content gaps.

What is the best way to find quick-win keywords using Google Search Console data?โ–ผ

The best way to find quick-win keywords is by auditing your GSC performance to surface low-hanging opportunities, combined with trend detection to identify rising topics for your content strategy.

Do I need OAuth credentials and an Ahrefs token to run GSC optimization scripts?โ–ผ

You need GSC site URL and OAuth credentials to authorize access, plus your domain configured in environment variables; an Ahrefs token is optional but required for fetching competitor gap data.

Can I use Python to detect search trends and defend against traffic declines?โ–ผ

Yes, you can use Python scripts to detect search trends and identify content opportunities, allowing you to proactively defend against traffic declines by adjusting your content strategy.

How does competitor gap analysis work for prioritizing SEO content targets?โ–ผ

Competitor gap analysis works by combining your content fingerprint with Ahrefs and GSC data to identify missing keywords competitors rank for, producing a prioritized list of content targets.

What are the limitations of using Google Search Console for keyword research?โ–ผ

GSC limitations include only showing data for your own verified properties and missing competitor metrics; combining it with an Ahrefs token overcomes this by providing external competitor gap analysis.

Related Skills

Explore More Marketing & Sales Skillsโ†’
jiunbaejiunbae
12

google-search-console

Extract and analyze Google Search Console data into Markdown, JSON, or CSV.

Community
Advanced
huiferhuifer
1

content-gap-analyzer

Compare competitor content and keyword coverage to generate a prioritized content-gap report.

Community
Advanced
leafcoderleafcoder
2

seo-analytics

Analyze organic search performance data from Google Search Console and Google Analytics.

Community
Advanced
aaron-he-zhuaaron-he-zhu
142

keyword-research

Generates keyword lists from seed terms with intent, difficulty, and clustering analysis.

Community
Intermediate