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AI search skill · v0.1.0

Agent readiness skill

Make a site usable by AI agents that browse, fill in forms and buy for people: accessibility tree, layout stability, access policy, discovery files and safe agent tools, fixed in priority order.

Free · MIT licence · Copy needs a free sign-in

Category
AI search
Works with
Claude, Codex, Cursor, any agent
Format
SKILL.md · 1,806 words
Version
v0.1.0
Price
Free · MIT

The Agent readiness skill file

cmo-agent-readiness/SKILL.md1,806 words · MIT
---
name: cmo-agent-readiness
description: Make a site usable by AI agents that browse, fill in forms and buy for people: accessibility tree, layout stability, access policy, discovery files and safe agent tools, fixed in priority order.
---

AI assistants increasingly open pages and act for a person: compare plans, fill in a booking form, start a checkout. They see the page mostly through its accessibility tree and raw HTML, not its looks. Maggie checks whether the key pages work for such an agent, what the site's access policy says to AI, and whether optional discovery files are correct, then returns a short, prioritised fix list and drafts the owner can deploy. Agent readiness is accessibility plus a stable layout plus a clear access policy; discovery files and agent tools are optional extras on top.

When to use

  • "Can AI agents use my site?", "make my site agent-ready", or a page-audit report with an agent category the user cannot read.
  • An AI browser fails at a form, booking or checkout.
  • The user asks about llms.txt, Markdown copies of pages, Content-Signal or agent tools for forms.
  • Deciding an AI training policy and writing it into robots.txt.
  • Not for: whether AI answers mention or cite the brand, or which AI crawler governs which product (cmo-ai-visibility-audit); robots.txt syntax, CDN blocks, indexing and speed (cmo-technical-seo); form conversion for humans (cmo-form-cro, cmo-checkout-cro).
Sign in to see, copy and download the whole skillIt's free. Copying also upvotes and saves it, so you'll find it again under Saved.
Preview: the workflow, output, example, quality bar and guardrails unlock when you sign in.

Adapts open work by GoogleChrome/lighthouse (Apache-2.0), zubair-trabzada/geo-seo-claude (MIT), getgrav/grav (MIT), squirrelscan/squirrelscan (MIT).

Everyday usage

How people use Agent readiness day to day

Ask in plain words. The agent picks this skill, asks for anything it needs and hands back the result. Words in a highlight are yours to change.

Most common · also on the AI search page

Agent readiness

Summary: the lab agent result as X/N with tool version and date, the number of P0 failures, and the one thing most limiting agents

Ask your agentCan AI agents use my website?
  • Summary: the lab agent result as X/N with tool version and date, the number of P0 failures, and the one thing most limiting agents
  • Findings by priority (P0-P3), each with evidence (status code, header, rule id, selector) and a fix
  • Access policy stated on three separate lines: training, search, user-triggered agents
  • Drafts for review: robots.txt policy lines, llms.txt, form markup fixes

More things to ask

  • Make my site agent-ready
  • Explain the agent
  • Should I add llms.txt or Markdown versions of my pages?
  • Set robots.txt so AI can use our pages but not train on them
  • An AI browser can't fill in our booking form
  • Should we add agent tools (WebMCP) to our forms?
How it works

From input to output

  1. 1You give it
    • The website (a CMO.so workspace or a URL) and 2-3 key pages: home, a product or service page, the main form or checkout
    • Whether the user controls the site and its firewall/CDN
    • The user's policy on AI training use of their content: allow, block or undecided
    • Optional: a PageSpeed Insights or browser page-audit report that includes the agent category
  2. 2It works through the method
    • Asks what's missing, one question at a time
    • Follows the workflow step by step
    • Checks the result against its quality bar and guardrails
  3. 3You get
    • Summary: the lab agent result as X/N with tool version and date, the number of P0 failures, and the one thing most limiting agents
    • Findings by priority (P0-P3), each with evidence (status code, header, rule id, selector) and a fix
    • Access policy stated on three separate lines: training, search, user-triggered agents
    • Drafts for review: robots.txt policy lines, llms.txt, form markup fixes
Why a skill

The skill against the alternatives

Do it yourselfHire helpAgent readiness skill
CostYour own timeAgency or freelancer feesFree, MIT licence
Time to a first resultHours, every timeDays to weeks, plus revisionsMinutes, in your agent
ConsistencyDepends on remembering every stepAs long as the retainer lastsSame steps and checks every run
The methodIn your headTheir process, often hiddenWritten down: read it, change it
Who does the workYou, from scratchSomeone learning your businessYour agent, following the skill
FAQ

Questions about the Agent readiness skill

What it does, what it needs and how to use it with your agent.

Still not sure?Try it free on your own website and see the first posts before you decide.
Start free
What is the Agent readiness skill?

Make a site usable by AI agents that browse, fill in forms and buy for people: accessibility tree, layout stability, access policy, discovery files and safe agent tools, fixed in priority order.

It's one of cmo.so's open AI search skills: a SKILL.md file that tells an AI agent when to use it, what to ask you first, the steps to follow, the checks to pass and what to hand back, so the job is done the same careful way every time.

When should I use it?

Reach for it when you'd otherwise say something like “Can AI agents use my website?”, “Make my site agent-ready”, “Explain the agent / agentic browsing result in my Lighthouse report”. Your agent reads the skill's description and picks it for requests like these, so you don't need to name it.

If a request is close but not quite right, the skill says so and points to the related skill that fits better, instead of forcing a poor answer.

What do I need to give it?

It works best with the website (a CMO.so workspace or a URL) and 2-3 key pages: home, a product or service page, the main form or checkout; whether the user controls the site and its firewall/CDN; the user's policy on AI training use of their content: allow, block or undecided; and optional: a PageSpeed Insights or browser page-audit report that includes the agent category.

You don't have to prepare everything up front. The skill asks for missing pieces one at a time and says plainly when it's working from an assumption instead of your data.

What do I get back?

You get summary: the lab agent result as X/N with tool version and date, the number of P0 failures, and the one thing most limiting agents; findings by priority (P0-P3), each with evidence (status code, header, rule id, selector) and a fix; access policy stated on three separate lines: training, search, user-triggered agents; and drafts for review: robots.txt policy lines, llms.txt, form markup fixes.

Every result comes from a written method with a quality bar, so numbers name their source, claims are checked and the output is ready to use or share rather than a rough draft.

Is it free?

Yes. The skill is open source under the MIT licence, so you can use it, change it and share it, including for client work.

Seeing, copying and downloading the whole file on cmo.so needs a free sign-in. Copying also upvotes and saves it, so you can find it again under Saved on the skills page.

Which AI agents can use it?

Claude Code installs it from the cmo.so marketplace. Any agent that reads SKILL.md folders, such as Codex or Cursor, can use it once the folder is in its skills directory.

You can also paste the copied skill into ChatGPT, Claude or any assistant at the start of a conversation and ask it to follow the skill.

How do I install it?

In Claude Code, run /plugin marketplace add AI-Marketing-OS-LTD/cmo-so-skills, then /plugin install cmo-so-ai-search@cmo-so. That installs this skill together with the rest of the AI search group.

For other agents, sign in, press Copy or Download above and put the file in your agent's skills folder as SKILL.md inside a folder named after the skill.

Do I need a cmo.so account to use it?

No. The skill works on its own with whatever your agent can already see and do: your files, the pages you share and the data you paste in.

With cmo.so connected it can go further, using tools such as seo_audit_get, seo_audit_run, brand_get, platform_detect through the MCP server. Every change is previewed and confirmed before it happens.

Which skills work well with it?

It pairs well with Technical SEO; AI visibility audit; Form optimisation; and Checkout & cart recovery. The agent can hand over from one to the next in the same conversation, for example research first, then the plan, then the writing.

Each of them has its own page with what it needs and what it returns, linked below.

Can I change it to fit my business?

Yes. It's a plain Markdown file, so you can edit the steps, add your own checks and examples, and keep your version in your own repo. The MIT licence allows it.

If your change would help others too, suggest it on the skills page or open a pull request on GitHub, and it may be folded into the library for everyone.

Where does the method come from?

It's written by cmo.so and adapts open work by others, credited on this page: GoogleChrome/lighthouse (Apache-2.0); zubair-trabzada/geo-seo-claude (MIT); and getgrav/grav (MIT).

Only permissively licensed work is adapted; copyleft repos are used for ideas only and repos without a licence aren't used at all.

Is my data sent to cmo.so when the agent uses it?

No. The skill only guides your own agent; your files, documents and data stay wherever your agent and its tools keep them.

cmo.so only sees what you connect to cmo.so. Your votes and saves on this page are stored against your cmo.so sign-in.

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