Lighthouse Agentic Browsing · WebMCP · llms.txt · Free

Agentic Browsing Skill

A Claude Code skill that audits and fixes any website for Google Lighthouse's Agentic Browsing category — so AI agents and answer engines can read, navigate and operate it, not just rank it. Covers crawlable HTML, the agent-centric accessibility tree, layout stability, llms.txt, and the WebMCP build-out. The exact playbook that took puniverse.net to a full agentic-browsing pass.

Agentic Browsing Skill

Watch the 60-second intro

Who's it for?

For founders and developers shipping React, Next, Vite or Astro sites who want to be discoverable and usable in the agentic web — ChatGPT, Perplexity, Claude, Copilot and operator agents — not just ranked in search.

How it works

1

Run the included zero-dependency Node audit on any URL to flag the scored signals in seconds.

2

Fix the crawlable-HTML foundation so the page is server-rendered and the accessibility tree exists before JavaScript runs.

3

Tidy the agent-centric accessibility tree: names, labels, heading order, roles and visibility.

4

Stabilise layout (CLS) so agents act on elements that do not move between identifying and clicking them.

5

Add a well-formed llms.txt, then expose forms, search and checkout as WebMCP tools agents can drive.

How to set up

  • Download the skill from Gumroad (free) and unzip it.
  • Copy the agentic-browsing folder into your Claude Code skills directory (~/.claude/skills/).
  • Start a new Claude Code session — the skill triggers when you ask to make a site agent-ready.
  • Run the audit script against your site and apply the fixes it surfaces.
  • Run a real Lighthouse Agentic Browsing report in Chrome 150+ to confirm the score.

Requirements

Claude Code (or any agent that can read a skill folder)
Node.js 18+ to run the audit script
Chrome 150+ for the authoritative Lighthouse Agentic Browsing report
A WebMCP origin-trial token only if you build the optional WebMCP tools