seo-ops
Skill1 starsChanged 6 months agoMITView on GitHub
SEO strategy and execution system built for the AI search era. Use when: run seo audit for [domain], build content clusters for [topic], score keywords for [niche], check serp features for [keyword], find cannibalization issues, geo optimize [url].
5 other projects use a version of this.
Adopted by
Most recently taken up by
- adityash8/claude-seo-skillstheir own version, first seen Nov 1, 2026
- LazyIsEfficient/agentic-ostheir own version, first seen Oct 22, 2026
- ericosiu/ai-marketing-skillstheir own version, first seen Sep 2, 2026
- tigerless-labs/seo-opstheir own version, first seen Aug 26, 2026
- admdanielpaulino/claude-codestheir own version, first seen Apr 9, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- ericosiu/ai-marketing-skills★ 3.8ksame name
- tigerless-labs/seo-ops★ 986same name
- LazyIsEfficient/agentic-os★ 17same name
- admdanielpaulino/claude-codes★ 1same name
- adityash8/claude-seo-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 repository12 other files it gives its agents.
- content-opsSkill
- conversion-opsSkill
- creative-opsSkill
- finance-opsSkill
- growth-engineSkill
- outbound-engineSkill
- podcast-opsSkill
- revenue-intelligenceSkill
- sales-pipelineSkill
- sales-playbookSkill
- team-opsSkill
- voice-guardSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
2
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 11
Run SEO audit for [domain]
- Distinctive: line 14
Check SERP features for [keyword]
“Common” is measured: kept by at least 6 in 10 of the 5 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
SEO Ops
SEO strategy and execution system built for the AI search era. Combines traditional keyword research and competitor gap analysis with Generative Engine Optimization (GEO/AEO), topical authority mapping, content cluster visualization, and SERP feature opportunity scoring.
When to Use
- Run SEO audit for [domain]
- Build content clusters for [topic]
- Score keywords for [niche]
- Check SERP features for [keyword]
- Find cannibalization issues
- GEO optimize [URL]
- Generate topical authority map
- Find programmatic SEO opportunities
Workflow
- Seed Keywords -- input core keywords or let the system extract from GSC top queries
- Keyword Universe Expansion -- expand seeds into full keyword map with intent labels (BOFU/MOFU/TOFU)
- Impact x Confidence Scoring -- score and rank all keywords in the universe
- SERP Feature Analysis -- for top 50 keywords, identify winnable SERP features
- Topical Authority Audit -- map current coverage against ideal topical graph
- Content Cluster Planning -- group keywords into pillar-spoke clusters with internal linking maps
- GEO/AEO Gap Analysis -- evaluate existing content for AI search readiness
- Cannibalization Check -- identify keyword overlaps across existing pages
- Programmatic SEO Scan -- detect templatizable page opportunities
- Weekly Brief -- prioritized keyword targets, content assignments, and quick wins
Reference
Full methodology lives in README.md in this folder: configuration, scoring formulas, output formats, integration points, and worked examples. Read it before producing scored output.
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.