agentic-seo-skill
An LLM-first SEO analysis skill pack designed specifically for AI coding assistants.
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: agentic-seo-skill. It is used for: An LLM-first SEO analysis skill pack designed specifically for AI coding assistants. Full Skill content: https://321skill.com/skills/agentic-seo-skill/raw/index.md Read that page and install it.
The prompt includes a link to the full Skill content. You can also view the full content.
This Skill addresses the pain point for developers who need to manually integrate multiple tools and write complex scripts when conducting technical SEO analysis for websites. It provides a complete suite of SEO auditing capabilities for AI coding assistants like Claude Code and Cursor through a unified skill pack.
To use it, simply install this Skill in your supported IDE. You can then invoke its 16 sub-skills and 89 scripts using natural language instructions, such as performing a full-site audit, checking Core Web Vitals, analyzing indexability matrices, or generating visual reports. The entire process is AI agent-driven, automating evidence collection and report generation.
It is ideal for front-end and full-stack developers who need to integrate SEO workflows into their development processes, as well as marketing specialists and content creators responsible for website technical optimization. Whether it's benchmarking before developing new features or compliance checks before launch, you can quickly obtain data-driven insights.
For first-time use, it is recommended to start with the audit_runner.py script for a one-click full-site audit to understand the overall status. Note that this Skill primarily provides technical-level SEO evidence and analysis. For areas requiring human judgment, such as content strategy and keyword research, it should be used as a supplementary reference.
Key Features
Unlike generic SEO tools, it is deeply integrated into the workflow of AI coding assistants (e.g., Claude Code, Cursor), allowing developers to directly invoke complex SEO auditing scripts via natural language and embed analysis results in real-time within the code development context. Its core lies in providing 89 composable Python scripts as "evidence collectors," capable of automating the generation of structured HTML, JSON, and Markdown reports, rather than delivering a single black-box result.
Limitations
This Skill primarily focuses on technical SEO auditing and automated evidence collection. It is not suitable for scenarios that require deep industry insights, creative content strategy, or complex business competitive analysis, which are highly dependent on human experience.
FAQ
Which IDEs or AI assistants does this SEO skill pack support?
It supports Claude Code, Antigravity, Cursor, Windsurf, Continue.dev, GitHub Copilot, Cline, and Codex CLI, providing native-format installation packages for each tool.
How do I start a complete SEO audit after installation?
In the installed IDE, give an instruction like "Run a full-site SEO audit" to your AI assistant, or directly invoke the `audit_runner.py` script. It will automatically execute multiple checks and generate a comprehensive report.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agentic-seo-skill/raw/index.md to read the original Skill definition (Markdown format) for agentic-seo-skill, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agentic-seo-skill/raw/index.md