agentleFS
tidycatc132tidycatc132/claude-skills/skills/serp-analysis/SKILL.md

serp-analysis

Skill0 starsChanged 36 days agoNo licenceView on GitHub

Use when the user asks to analyze the SERP or search results for a keyword, what it takes to rank for a query, who holds the featured snippet or People Also Ask, which sites get cited in AI Overviews or AI answers for a query, whether a SERP is stable enough to target, how results differ by location or device, or which videos win a query's video carousel. Maps the results page composition, profiles the top-ranking pages and why they rank, names the dominant intent with evidence, finds snippet, PAA, AI-citation and video openings, and scores True Difficulty from five labeled inputs; scripts compute volatility and the weighted score or NOT_SCORED. Do NOT use for benchmarking rival domains as a whole (use competitor-analysis), for topics competitors publish that you lack (use content-gap-analysis), for judging one page's quality (use content-quality-auditor), for site health (use technical-seo-checker), or for keyword research (use keyword-research) and rank tracking.

7 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 7 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.