serp-analysis
Skill0 starsChanged 39 days agoMITView on GitHub
Read live Google results for any keyword in any country with SEOsorted — the top 10 organic results, SERP features (AI Overview and its cited sources, featured snippet, People Also Ask, videos, local pack), volume, KD and CPC — and check where any domain ranks across up to 20 keywords. Use when the user asks who ranks for a keyword, what the SERP looks like, whether there is an AI Overview, rank checks, "where do we rank for X", or what it takes to rank.
7 other projects use a version of this.
Adopted by
Most recently taken up by
- RightBlogger/bloggingskillstheir own version, first seen Nov 1, 2026
- weininghui/skillstheir own version, first seen Oct 30, 2026
- tidycatc132/claude-skillstheir own version, first seen Oct 25, 2026
- semrush/skillstheir own version, first seen Sep 14, 2026
- DarynaRodriguez/seo-skillstheir own version, first seen Aug 27, 2026
- code-with-mehedi/nextjs-claude-startertheir own version, first seen Aug 25, 2026
Used with
Projects with it also use content-brief.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
LangChainSkillcontent-brief
Turn a vague or multi-asset design ask into a brief. Pull what is already known, ask at most two questions with reasons, decide the rest and say what you decided.
Also in 3 projects that use this
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 7
- semrush/skills★ 13same name
- opencue/cuecards★ 6same name
- RightBlogger/bloggingskills★ 4same name
- DarynaRodriguez/seo-skills★ 1same name
- weininghui/skills★ 1same name
- code-with-mehedi/nextjs-claude-starter★ 0same name
- tidycatc132/claude-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository36 other files it gives its agents.
- ai-citation-outreachSkill
- ai-crawler-analyticsSkill
- ai-visibility-trackerSkill
- backlink-outreachSkill
- backlinksSkill
- brand-voice-setupSkill
- bulk-content-runSkill
- cannibalization-checkSkill
- comparison-pagesSkill
- competitor-analysisSkill
- content-calendarSkill
- content-refreshSkill
- domain-authority-checkSkill
- find-questionsSkill
- keyword-researchSkill
- link-building-playbooksSkill
- link-reclamationSkill
- llms-txt-generatorSkill
- page-seo-auditSkill
- publish-to-cmsSkill
- seo-auditSkill
- seo-master-planSkill
- seo-reportSkill
- seosortedSkill
- site-settingsSkill
- statistics-pageSkill
- technical-audit-reportSkill
- technical-seo-checkSkill
- topic-clustersSkill
- update-and-republishSkill
- write-articleSkill
- youtube-channel-auditSkill
- youtube-citation-strategySkill
- youtube-creator-outreachSkill
- youtube-keyword-researchSkill
- youtube-outliersSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are 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.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 13
Read it for intent and difficulty:
“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.
Files
SERP analysis
check_google_results fetches live Google results (cached up to 6 hours). Cost: 1 keyword lookup credit per keyword checked.
One keyword: what does Google show?
check_google_resultsoperation: "results"withkeyword(andcountry/languagefor another market).- Read it for intent and difficulty:
- Who ranks: brands, publishers, forums, tools? Forums and UGC high up mean a gap for a solid page.
- Content type: guides, listicles, product pages, tools — match the dominant format.
- Features: an AI Overview (and which sources it cites), featured snippet, People Also Ask, videos, local pack. Each one takes clicks and is a target in itself.
- Metrics: volume, KD, CPC.
- Authority of the top 10:
analyze_any_domainoperation: "authority"with theirdomains(1 credit per 10 domains) — if every result is DR 80+, say it is a long-term target.
Rank check: where does a domain rank?
check_google_results operation: "rank" with keywords (up to 20) and domain (subdomains count). Returns position in the top 100, the ranking URL and the current #1 domain. Works for any domain, so run it for a competitor too.
Output
For results: a short verdict — intent, format to write, features to target, whether the site can compete — and the top 10 table. For rank: keyword, position, URL, #1 domain.
Next
Worth targeting → write-article (or cannibalization-check first if the site has related pages). Ranking 8–20 → content-refresh. Video results or a video-citing AI Overview → youtube-citation-strategy.
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
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.

