Free Claude Code Skill for SEO Reverse Engineering

Résumé

Pixel’s announcement explores a free, MIT-licensed skill that uses OpenSEO’s MCP server and DataForSEO data to analyze domains, keywords, rankings, and backlinks. It highlights how the tool can reveal traffic-driving page templates, including a Wise template reported to rank for 151,315 organic searches, and explains what the skill does—and where its data comes from.

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A Free Claude Code Skill That Reads Any Site's SEO Playbook

One page template on Wise ranks for 151,315 organic searches. Not a blog post. Not a landing page. One template, filled thousands of times with currency pairs and country codes, pulling in six figures of monthly search volume while looking like nothing at all. The team at OpenSEO ran a teardown of Wise and put a number on it: the whole analysis cost under thirty cents. i read that and felt a specific kind of irritation. People pay agencies five figures a year for a version of this answer. And here it is, a slash command in Claude Code, a paperclip's worth of credits, and a markdown table telling you which page types carry the traffic. So i installed it. And then i read the actual SKILL.md, which is where things got more interesting than the announcement thread suggested. What it actually is /reverse-engineer-seo is a free, MIT-licensed skill. It was built by Every App, the company behind OpenSEO, and it lives on seo.party, their community skill marketplace. A skill is a folder with a SKILL.md file. Claude Code, Codex, or Cursor loads it when your request matches its description. No extension, no plugin API, just instructions plus a tool connection. The tool connection is the whole trick. The skill does not crawl anything. It calls OpenSEO's MCP server, which serves keyword, ranking, and backlink data bought from DataForSEO. That distinction matters more than the marketing implies. The skill is a procedure. The data is rented. Install is one line: gh skill install every-app/seo-party-skills reverse-engineer-seo --agent claude-code
Pinned to commit ce87df4, if you care about that sort of thing. You should. What it does when you run it The steps are specific in a way i didn't expect. It's not "analyze the site and give me insights." It's a numbered procedure with actual parameters. Size the domain with get_domain_overview and get_backlinks_overview Pull the top 100 keywords by traffic, add up the ones with the brand name in them, report that as brand share Find non-brand keywords ranking in the top 20, grouped by URL and then by section Measure each section with a separate call, comparing totalCount against the site total Count how many searches show the site as a source in Google's AI Overview Open the top pages of the three biggest sections and figure out how they're built Sort backlinks by domain rank, not by date, and look for what keeps attracting links That last instruction is the one that made me trust the skill. Sorting backlinks by newest is what most tools do by default, and it's useless for this question. Somebody thought about that. A run is about 12 OpenSEO calls and 250 to 300 credits. The skill says this itself. Which is honest, and also the first place the free story starts to wobble. The part developers will care about The output is a set of tables, not an essay. Playbook, scorecard, traffic engines, top pages, search patterns, link magnets, moves to copy, what won't copy. The "what won't copy" section is the thing i keep coming back to. It's a skill that tells you what not to steal from a competitor. Wise's currency converter pages work because Wise has a brand, a decade of links, and a product people search for by name. You can copy the template. You cannot copy the trust. The skill says so, in the output, without being asked. For developers and agents the appeal is different from the SEO consultant appeal. A consultant sells judgment. This sells a repeatable procedure that produces a file. You can run it on five competitors, diff the outputs, and hand the result to a coding agent that builds the pages. That's the real shift. Not analysis. Analysis that ends in a build spec. The hype, and what the hype skipped The launch numbers are real. OpenSEO's post pulled 450+ likes. Julian Goldie, who covers SEO tools to a large audience, posted about it and got 400+ likes and a YouTube video with 7,400 views in two days. There were LinkedIn reposts, Thai-language explainers, Facebook posts from marketing academies. ...
Free Claude Code Skill for SEO Reverse Engineering
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