Bhanunamikaze

An LLM-first SEO analysis skill for Antigravity, Codex, Claude with 12 specialized sub-skills, 6 specialist agents, and optional utility scripts used as evidence collectors.

16
2
89% credibility
Found Mar 04, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A set of SEO auditing tools and guides packaged as a skill for AI coding environments to analyze websites and suggest optimizations.

How It Works

1
📰 Discover SEO Helper

You hear about a friendly tool that scans websites for search engine tips, perfect for making your site more visible.

2
📥 Easy Setup

Grab the tool and add it to your AI writing assistant with one quick command – no hassle.

3
💻 Open AI Assistant

Fire up your favorite AI coding buddy where the magic happens.

4
🔍 Ask for Website Check

Simply type 'run SEO audit on my site' and let it explore your pages automatically.

5
📊 Get Smart Report

Receive a clear dashboard with scores, problems spotted, and simple steps to fix them.

🚀 Boost Your Site

Follow the tips to improve your website – watch it rank higher and attract more visitors!

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Star Growth

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AI-Generated Review

What is Agentic-SEO-Skill?

Agentic-SEO-Skill is a Python-based skill that plugs into Antigravity, Claude, and Codex IDEs for LLM-first SEO analysis. Drop natural language prompts like "run SEO audit on example.com" and it kicks off agentic workflows with 6 specialist agents handling technical checks, content quality, performance, schema, sitemaps, and visual audits. Optional utility scripts act as evidence collectors for deeper proof on things like Core Web Vitals, hreflang, and broken links, outputting prioritized action plans.

Why is it gaining traction?

It stands out by embedding agentic SEO directly into AI coding flows—no separate tools or dashboards—triggering on intent like "check E-E-A-T" or "analyze GEO readiness." Specialist agents apply confidence labels and rubrics for consistent, evidence-backed findings, while covering 2026 updates like INP metrics and llms.txt. Devs love the seamless integration with Claude/Codex/Antigravity, turning vague prompts into structured reports faster than manual crawlers.

Who should use this?

SEO engineers optimizing sites in Claude or Codex who need quick, LLM-orchestrated audits without leaving their IDE. Frontend teams building SaaS or e-commerce prototypes, auditing single pages or full domains for crawlability, schema, and AI search readiness. Content creators targeting AEO/GEO, using it for competitor gaps or readability fixes on blog posts.

Verdict

Grab it if you're in the Antigravity/Claude/Codex ecosystem—solid docs and install script make setup painless, delivering real agentic SEO value despite 16 stars and 0.9% credibility score signaling early maturity. Test on a live site; lacks broad validation but punches above for niche LLM-first analysis.

(198 words)

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