mcpbeat Sign in

SEO Agentic Skill for Claude

Inspect how a website can be read and used by browsing agents. Use for agent readiness, accessibility trees, discovery files or WebMCP.

788 tokens
context cost
SKILL.md, read when the skill is used
2
files
plus reference files
0
copies elsewhere
how many repositories repackaged it
834
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/AgriciDaniel/chatgpt-seo --skill seo-agentic

What comes with it

190 bytes besides the instruction
agents/openai.yaml

The instruction itself

7 sections, as written by the author

Agent readiness

Input

A URL, rendered observation, agent-run evidence, tool definitions or discovery files.

Evidence and runtime

If a skill-resource reader fails to open a linked supporting file, try the

available file or execution tool using the installed plugin root returned by

the host or resolved from this skill's location. Do not hardcode a home folder,

version, or working directory. Distinguish a failed reader call from an absent

file, and files actually attempted from files not attempted. Report a resource

as unavailable only after the supported access paths have failed. If no file

or execution access is available, continue within the evidence you can read

and state that limit.

Read the operating contract when this

workflow is selected. Use runtime and data paths

when choosing a tool or handling missing data. Recheck relevant

search facts and primary sources

before date-sensitive claims. For a quantitative diagnostic, read

scoring; unavailable categories stay unknown.

Supporting resources

Read only the resources needed for the selected part of this task:

  • tested agent tasks and access.
  • source versus rendered controls.

Workflow

  • Define the task an agent should complete and the tested agent/browser. Agent readability, ability to act and decision reliability are separate checks.
  • Inspect semantic landmarks, headings, link/button names, labels, stable navigation, visible states and keyboard interactions when rendered tools are available.
  • Test relevant crawl/access policy and discoverability using actual responses. Markdown or llms.txt can help specific consumers; their existence does not prove ranking or citation value.
  • Review WebMCP/MCP operations only when their definitions are observable. Check clear inputs, scoped authorization, tool annotations and confirmation around consequential actions.
  • If Lighthouse agentic data is supplied, record its version and interpret its fraction as a browsing-readiness signal for the tested page. Reverify current vendor documentation rather than assuming an audit exists.
  • Give an evidence-based fix plan and repeat the concrete task when possible. Do not perform checkout, messages or other irreversible actions as an unapproved test.

Deliverable

A task-based readiness report with observed failures, source locators and a retest plan. Draft markup/tool improvements only within the requested scope.

Boundary

A static HTML check cannot validate an accessibility tree, WAF behavior, real agent completion or WebMCP support.

Adapted from the public Claude SEO seo-agentic workflow.

How to use it

Copy the folder

Take agricidaniel/seo-agentic from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.