Agentic SEO Skill for Codex, Claude, Cursor and many more: Open-Source LLM SEO Audits

June 02, 2026
Agentic SEO Skill: Open-Source LLM SEO Audits

Agentic SEO Skill for Codex, Claude, Cursor and many more: Open-Source LLM SEO Audits

Updated on June 02, 2026

Table of Contents

Agentic SEO Skill: An Open-Source LLM-First SEO Toolkit for Modern AI Coding Assistants

SEO has changed. It is no longer enough to check a title tag, add a meta description, and run a basic page speed test. Modern SEO now requires technical SEO audits, content quality reviews, schema validation, Core Web Vitals checks, AI search readiness, Answer Engine Optimization, internal link analysis, sitemap validation, GitHub repository discoverability, and evidence-backed reporting.

That is exactly where Agentic SEO Skill becomes useful. By utilizing an advanced AI SEO assistant approach, developers and marketers can unify their workflow.

Agentic SEO Skill is an open-source, LLM-first SEO analysis skill built for agent IDEs and AI coding assistants. Instead of forcing users to jump between multiple SEO tools, spreadsheets, browser extensions, and scripts, it brings structured SEO workflows directly into tools like Claude Code, Codex CLI, Antigravity IDE, Cursor, Windsurf, GitHub Copilot, Cline, and other AI-assisted development environments.

Agentic SEO Skill for Codex, Claude, Cursor and many more: Open-Source LLM SEO Audits

The project is designed for developers, technical SEO teams, growth engineers, indie hackers, SaaS founders, content teams, and security-minded builders who want practical SEO audits backed by real evidence, not vague AI-generated suggestions.

What Is Agentic SEO Skill?

Agentic SEO Skill is a complete SEO workflow package that combines LLM reasoning with deterministic scripts. It allows an AI coding assistant to understand SEO-related prompts, collect evidence from websites or repositories, run relevant checks, and generate prioritized action plans. This seamless integration positions it as a leading LLM SEO audit tool in today's fast-paced digital ecosystem.

At its core, the project includes:

  • 16 specialized SEO sub-skills
  • 10 specialist SEO agents
  • 89 evidence collection and automation scripts
  • Support for website, blog post, article, technical SEO, schema, sitemap, Core Web Vitals, GEO, AEO, image SEO, link profile, hreflang, programmatic SEO, competitor analysis, and GitHub repository SEO workflows
  • Markdown and HTML report generation
  • GitHub SEO reporting with GITHUB-SEO-REPORT.md and GITHUB-ACTION-PLAN.md

The key difference is that this is not just another SEO checklist. It is built to work inside an LLM-driven workflow where the AI assistant can reason over collected evidence, assign confidence labels, prioritize fixes, and explain exactly why each recommendation matters.

Why LLM-First SEO Matters

Traditional SEO tools are good at collecting data. They can tell you if a page has missing metadata, broken links, crawl issues, or slow performance. But they often struggle to explain the business impact, prioritize fixes in context, or connect technical problems to content strategy.

LLM-first SEO solves that gap.

Agentic SEO Skill uses the LLM as the reasoning layer while using scripts as the evidence layer. That means the assistant does not simply guess. It can collect structured evidence from the page, verify technical signals, check schema, inspect robots.txt, analyze internal links, review content quality, and then convert those findings into a practical action plan.

This makes the workflow more useful for real-world SEO execution because each issue can be presented with:

  • The finding
  • The supporting evidence
  • The SEO impact
  • The recommended fix
  • The confidence level
  • The priority based on impact and effort

For teams that already use AI coding assistants, this creates a much smoother process. You can ask your IDE to audit a page, review a blog post, check schema, analyze GitHub SEO, or create an SEO strategy without leaving your development workflow.

Supported AI Tools and IDEs

One of the strongest parts of Agentic SEO Skill is its wide compatibility. The installer ships native formats for multiple tools instead of providing one generic prompt file.

It currently supports:

  • Claude Code
  • Codex CLI
  • Antigravity IDE
  • Claude Cowork
  • Cursor
  • Windsurf
  • Continue.dev
  • GitHub Copilot
  • Cline

This makes the project useful for different workflows. A developer can install it globally for Claude Code or Codex, while a team can add it to a project repository for Cursor, Windsurf, Cline, Continue.dev, or GitHub Copilot. Setting it up as a Claude Code SEO skill or Codex SEO skill requires just a few basic commands.

That project-scoped approach is valuable because SEO workflows become part of the repository itself. Teams can commit the skill configuration, share the same SEO audit behavior, and keep optimization guidance close to the codebase.

What Can Agentic SEO Skill Analyze?

Agentic SEO Skill covers a wide range of SEO tasks. The project includes sub-skills for:

Technical SEO

The technical SEO workflow checks crawlability, indexability, redirects, robots.txt, headers, canonicals, mobile readiness, security-related signals, JavaScript rendering concerns, and Core Web Vitals.

This is useful when you want to answer questions like:

  • Can Google crawl and index this page correctly?
  • Are canonicals configured properly?
  • Are redirects causing issues?
  • Are security headers missing?
  • Are Core Web Vitals holding back performance?

Content Quality and E-E-A-T

The content workflow helps analyze page quality, readability, structure, topical coverage, and E-E-A-T signals. This is especially useful for blogs, SaaS landing pages, product pages, documentation, and competitive articles. You can also use this module for robust content optimization tasks.

Instead of simply saying “add more content,” the skill can help identify what is missing, where the structure is weak, and how the article can be improved for search intent.

Schema Markup

Structured data is important for search visibility, rich results, and entity understanding. Agentic SEO Skill can detect schema, validate JSON-LD, identify deprecated or restricted schema usage, and generate corrected markup recommendations based on official Schema markup guidelines.

This is useful for article pages, SaaS pages, product pages, organization markup, breadcrumbs, FAQ-like content, and knowledge graph signals.

Core Web Vitals and Performance

The skill includes PageSpeed and Core Web Vitals workflows for analyzing performance-related SEO issues. It can help investigate LCP, INP, CLS, mobile performance, and optimization opportunities following Core Web Vitals best practices.

For technical teams, this is useful because the output can be converted into engineering tasks instead of remaining as generic SEO advice.

Sitemap and Robots.txt Audits

The sitemap workflow checks XML sitemap discovery, parsing, URL quality, status codes, lastmod quality, and sitemap limits. The robots workflow checks crawler access, including AI crawler policy considerations.

This matters for large sites, blogs, programmatic SEO websites, and documentation portals where indexing issues can silently reduce organic visibility.

GEO and AEO

Search is moving beyond traditional blue links. Agentic SEO Skill includes workflows for:

  • GEO — Generative Engine Optimization
  • AEO — Answer Engine Optimization

These workflows help analyze readiness for AI search experiences, featured snippets, People Also Ask style answers, knowledge panels, citation structure, and AI crawler access. As a GEO AEO SEO tool, it positions your content perfectly for the future of search.

For modern SEO, this is becoming increasingly important. Content should not only rank in Google but also be understandable, citable, and useful for AI-powered search and answer engines.

Image SEO

The image SEO workflow checks alt text, image dimensions, lazy loading behavior, responsive image signals, CLS concerns, and potential LCP image issues.

This is useful for blogs, landing pages, ecommerce pages, portfolios, and documentation websites where images affect both search visibility and user experience.

Link Profile and Internal Linking

Agentic SEO Skill includes link analysis workflows for internal links, backlinks, anchor text, broken links, orphan pages, and link health.

Internal linking is one of the most underused SEO levers. With an LLM-first workflow, the tool can help identify not only broken links but also opportunities to improve topical authority and page discovery.

Hreflang and International SEO

For multilingual or international websites, hreflang mistakes can cause serious indexing and ranking problems. Agentic SEO Skill includes hreflang validation for language-region tags, bidirectional links, and x-default usage.

Programmatic SEO Safeguards

Programmatic SEO can scale organic growth, but it can also create thin, duplicate, or low-quality pages if not managed carefully. The programmatic SEO workflow helps enforce quality gates so teams can scale without damaging search quality.

GitHub Repository SEO

One of the most interesting features is GitHub SEO.

Agentic SEO Skill can analyze GitHub repository discoverability, README quality, topics, metadata, community health, search benchmarking, competitor patterns, traffic archival, and backlink distribution ideas. Conducting a thorough GitHub SEO audit ensures your open-source projects reach their maximum audience.

This is especially useful for open-source developers who want their repositories to appear for the right GitHub and Google searches.

For example, if you have a developer tool, security tool, AI skill, automation script, or SaaS SDK, GitHub SEO can help improve:

  • Repository name and description
  • GitHub topics
  • README title and heading structure
  • Installation clarity
  • Trust signals
  • Use-case positioning
  • Backlink anchor text
  • Community contribution readiness
  • Competitive discoverability

The workflow can generate two practical outputs:

  • GITHUB-SEO-REPORT.md
  • GITHUB-ACTION-PLAN.md

That makes it easier to turn repository SEO into a repeatable improvement process.

Example Prompts You Can Use

After installing the skill, users can trigger SEO workflows using natural language. For example:

Run a full SEO audit for https://example.com and prioritize fixes by impact.

Check the schema markup on my homepage and generate corrected JSON-LD.

Analyze Core Web Vitals for my site and break down LCP, INP, and CLS issues.

Evaluate GEO readiness for my website, including AI crawler access and citation structure.

Analyze this blog post and suggest SEO improvements for search intent, E-E-A-T, schema, and readability.

Run GitHub SEO analysis for owner/repo and generate a prioritized action plan.

This natural language approach makes the skill easy to use even for people who do not want to memorize CLI flags.

Evidence-Backed SEO Reports

A major problem with AI-generated SEO advice is that it can become too generic. Agentic SEO Skill is designed to avoid that by using evidence-backed reporting.

The expected audit format includes:

  • Finding
  • Evidence
  • Impact
  • Fix
  • Severity
  • Confidence

That structure helps separate confirmed issues from likely issues and hypotheses. It also makes the output more useful for developers, marketers, and founders because each recommendation is tied to something measurable.

For example, instead of saying:

Improve your metadata.

A better evidence-backed output would say:

The homepage title is missing the primary keyword and is shorter than the recommended range. This weakens search intent alignment. Update the title to include the product category, brand, and core use case.

This is the type of practical SEO reporting that helps teams move from “audit completed” to “fixes shipped.”

HTML Dashboards and Markdown Action Plans

Agentic SEO Skill supports both LLM-first reports and script-generated dashboards.

For strategy and prioritization, the LLM-first workflow can generate Markdown reports such as:

  • FULL-AUDIT-REPORT.md
  • ACTION-PLAN.md

For shareable technical snapshots, the project also includes an HTML report generator. This is useful when you want to send a report to a client, founder, engineering team, or marketing team.

The HTML dashboard can include:

  • Overall score
  • Category breakdown
  • Environment detection
  • Environment-specific fix plan
  • Section-level issues
  • Recommendations
  • Readability suggestions

This makes the project useful not just for personal SEO experiments but also for consulting, agency workflows, product teams, and recurring audits.

Why Developers Should Care About SEO Skills Inside the IDE

Developers often own the implementation side of SEO. They fix schema, redirects, performance issues, sitemap problems, canonical tags, rendering issues, image loading, broken links, and metadata.

But SEO tasks are often delivered through long spreadsheets or external dashboards that are disconnected from the codebase.

Agentic SEO Skill changes that workflow.

By running SEO analysis inside the IDE, developers can move from detection to implementation faster. The same assistant that identifies the issue can help inspect the relevant code, suggest changes, generate JSON-LD, update metadata, or create an implementation plan. This kind of technical SEO automation bridges the gap between marketing analysis and engineering execution.

This is especially useful for:

  • SaaS websites
  • Developer tools
  • Documentation sites
  • Technical blogs
  • Ecommerce projects
  • Agency client audits
  • Open-source GitHub repositories
  • Programmatic SEO platforms
  • AI and cybersecurity websites

Quick Installation

Agentic SEO Skill provides install scripts for Linux, macOS, and Windows.

For Linux or macOS, users can install it directly with:

curl -fsSL https://raw.githubusercontent.com/Bhanunamikaze/Agentic-SEO-Skill/main/install.sh | bash -s -- --online

For Windows PowerShell:

irm https://raw.githubusercontent.com/Bhanunamikaze/Agentic-SEO-Skill/main/install.ps1 -OutFile install.ps1
powershell -ExecutionPolicy Bypass -File .\install.ps1 --online

You can also install it for specific targets like Claude Code, Codex, Cursor, Windsurf, Copilot, Continue.dev, Cline, or Antigravity.

For example:

bash install.sh --target claude
bash install.sh --target codex
bash install.sh --target cursor --project-dir /path/to/project
bash install.sh --target copilot --project-dir /path/to/project

This flexibility makes it easy to use the skill either as a personal SEO assistant or as a project-level SEO workflow shared across a team.

Who Should Use Agentic SEO Skill?

Agentic SEO Skill is useful for several types of users.

For Developers

Developers can use it to quickly understand SEO issues and convert them into technical fixes. It is especially useful for schema, metadata, redirects, Core Web Vitals, sitemap, robots.txt, and GitHub SEO.

For SEO Consultants

Consultants can use the skill to speed up audits, create structured reports, validate findings, and generate action plans that clients can actually implement.

For SaaS Founders

SaaS founders can use it to improve landing pages, documentation, blog posts, comparison pages, and product-led SEO workflows.

For Content Teams

Content teams can use it to analyze blog posts, improve search intent alignment, strengthen E-E-A-T signals, and optimize content for both Google and AI answer engines.

For Open-Source Maintainers

Open-source maintainers can use the GitHub SEO workflows to improve repository discoverability, README quality, topic selection, and backlink strategy.

Why This Project Stands Out

There are many SEO tools available, but Agentic SEO Skill stands out because it is designed for the new AI-assisted development workflow.

Its biggest strengths are:

  • It is open source.
  • It works inside agent IDEs and AI coding assistants.
  • It combines LLM reasoning with script-backed evidence.
  • It supports both website SEO and GitHub repository SEO.
  • It includes modern SEO areas like GEO, AEO, AI crawler policy, Core Web Vitals, and E-E-A-T.
  • It generates practical reports and action plans.
  • It supports multiple tools instead of locking users into one platform.
  • It gives developers and SEO teams a shared workflow.

That combination makes it more than a prompt pack. It is a practical SEO automation layer for AI-native development.

If you are writing about AI SEO, technical SEO, developer SEO tools, GitHub repository optimization, or LLM-powered audits, Agentic SEO Skill is a strong project to reference.

You can link to the repository using anchor text such as:

  • Agentic SEO Skill
  • open-source LLM SEO audit tool
  • SEO skill for Claude Code and Codex
  • GitHub SEO audit toolkit
  • AI-powered technical SEO workflow
  • LLM-first SEO analysis skill
  • SEO automation for agent IDEs

Suggested backlink placement:

For developers who want to run SEO audits directly inside AI coding assistants, check out Agentic SEO Skill, an open-source LLM-first SEO toolkit for Claude Code, Codex, Cursor, Antigravity, Windsurf, Copilot, Cline, and more.

Final Thoughts

SEO is becoming more technical, more AI-driven, and more integrated with development workflows. Teams need tools that can collect evidence, reason through issues, generate clear fixes, and fit naturally into how modern software is built.

Agentic SEO Skill is built for that future.

It brings technical SEO, content optimization, schema validation, Core Web Vitals, GEO, AEO, sitemap checks, image SEO, link analysis, and GitHub repository SEO into the AI coding assistant workflow.

For developers, founders, SEO consultants, and open-source maintainers, this project offers a practical way to turn SEO analysis into action.

Explore the project on GitHub:
https://github.com/Bhanunamikaze/Agentic-SEO-Skill

Optional FAQ Section for SEO

What is Agentic SEO Skill?
Agentic SEO Skill is an open-source LLM-first SEO analysis toolkit for agent IDEs and AI coding assistants. It helps run technical SEO audits, content reviews, schema checks, Core Web Vitals analysis, GEO, AEO, sitemap audits, image SEO, link analysis, and GitHub repository SEO workflows.

Which tools does Agentic SEO Skill support?
It supports Claude Code, Codex CLI, Antigravity IDE, Cursor, Windsurf, Continue.dev, GitHub Copilot, Cline, and project-scoped AI assistant workflows.

Can Agentic SEO Skill audit GitHub repositories?
Yes. It includes GitHub SEO workflows for repository metadata, README quality, topics, community health, search benchmarking, competitor research, traffic archival, and action plan generation.

Is Agentic SEO Skill open source?
Yes. Agentic SEO Skill is available as an open-source GitHub repository.

Who should use Agentic SEO Skill?
It is useful for developers, technical SEO consultants, SaaS founders, content teams, open-source maintainers, and agencies that want evidence-backed SEO audits inside AI coding workflows.

Enjoyed this guide? Share your thoughts below and tell us how you leverage Agentic SEO Skill in your projects!

Agentic SEO Skill, AI SEO, Technical SEO, LLM SEO audit, Developer Tools, GitHub SEO, GEO AEO SEO tool ## use Below CSS
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By:
Bhanu Namikaze

Bhanu Namikaze is an Penetration Tester, Red Teamer, Ethical Hacker, Blogger, Web Developer and a Mechanical Engineer. He Enjoys writing articles, Blogging, Debugging Errors and CTFs. Enjoy Learning; There is Nothing Like Absolute Defeat - Try and try until you Succeed.

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