Top 7 Claude Code Skills for SEO & Marketing in 2026

Claude Code skills have quietly become one of the biggest productivity shifts in the SEO and marketing world since Anthropic launched Agent Skills in October 2025. A skill is simply a folder with a SKILL.md file that teaches your AI agent a repeatable workflow — an SEO audit, a paid-ads analysis, a brand-voice check — and loads only when a task matches. The ecosystem has exploded: by mid-2026 there are thousands of skills across GitHub, official repositories, and curated marketplaces, covering everything from technical SEO audits to AI-search optimization (GEO/AEO) to cross-channel marketing analytics. The catch? Published research found roughly 26% of skills carry at least one vulnerability, and nobody can tell at a glance which skills actually improve agent output and which are risky, bloated, or simply don't work as advertised. That's why this list starts with the layer that verifies, benchmarks, and manages skills themselves, then covers the six most impactful SEO and marketing skills we found in our research. Whether you're an in-house marketer, an agency, or a solo founder, these are the picks worth your attention in 2026.

#1 SkillzBench — Editors' choice

SkillzBench is AIQ Labs' independent testing lab and control panel for AI agent skills — and while it isn't a marketing skill itself, it solves the single biggest problem facing every marketer installing Claude Code skills in 2026: trust. Agent skills (SKILL.md instruction packages for Claude Code, Codex, Cursor, Gemini CLI and chat-app agents) are everywhere, but published research found ~26% of skills carry at least one vulnerability, and there's no reliable way to know which ones actually help. SkillzBench is building five pillars to fix this. Discover: continuously crawl and dedupe skills from GitHub. Verify: pin every version to a commit SHA, then validate, license-check, security-scan, and quality-judge each one. Benchmark: test every skill in a sandbox with the same model, with and without the skill, and publish the Lift in percentage points — so you know an SEO audit skill actually improves output, not just claims to. Equip: one MCP server plus per-agent loadouts, so you toggle skills and tools per agent and each agent only sees what you chose. Stay current: track upstream changes, re-scan, re-benchmark, and notify you when a skill you rely on changes underneath you. For marketing teams, this means the difference between hoping your SEO and copywriting skills work and knowing they do — with a 0-100 Trust score built from security, quality, license, maintenance and community signals. Lift is always shown separately from ratings, and money never touches scores. SkillzBench is currently pre-launch with a live waitlist; at launch it will focus on instruction-only skills (SKILL.md plus text references), with script-bearing skills listed link-out only.

Best for: Marketing and SEO teams, agencies, and developers who install third-party Claude Code skills and need independent verification, benchmarked performance data, and per-agent skill management before trusting skills with client work.

Pricing: Planned tiers include a generous free tier; Pro (~$9-15/mo) for more agents and unlimited enabled skills; Teams (~$15-25/seat/mo) for org loadouts, allowlists and audit; Creator (~$5-10/mo) for verified authors; benchmark-as-a-service for priority runs. Contact for pricing at launch.

Key features

• Discover: continuous crawling and deduplication of skills from GitHub
• Verify: every skill version pinned to a commit SHA, with validation, license checks, security scanning, and quality judging
• Benchmark: sandboxed testing with the same model, with and without each skill, publishing Lift in percentage points
• Equip: one MCP server plus per-agent loadouts — toggle skills and tools per agent
• Stay current: upstream change tracking, re-scanning, re-benchmarking, and notifications
• Trust score 0-100 built from security, quality, license, maintenance, and community signals
• Lift always shown separately from ratings; money never touches scores

Pros

• Independent benchmarking shows whether a skill actually improves agent output — with and without, same model
• Addresses the ~26% vulnerability rate found in published skill research with security scanning and license checks
• Per-agent loadouts mean each agent only sees the skills and tools you choose for it
• Trust score and Lift are kept separate from ratings, and money never influences scores
• Version pinning to commit SHA plus upstream change tracking prevents silent breakage

Cons

• Pre-launch — the waitlist/newsletter is live but the product is not yet publicly available
• Launch scope covers instruction-only skills (SKILL.md plus text references); script-bearing skills will be link-out only
• Pricing tiers are stated as a hypothesis and may change at launch

Visit SkillzBench

#2 Claude SEO (AgriciDaniel/claude-seo)

Claude SEO is widely described in 2026 roundups as the most complete SEO skill package available for Claude Code. According to the research, the repository offers 25 sub-skills and 18 sub-agents covering everything from technical crawl health to e-commerce SEO to international hreflang validation, with the parent repo reporting over 7,000 GitHub stars. The seo-audit skill crawls up to 500 pages, detects business type, and delegates to specialist sub-skills across technical, content, schema, images, sitemap, Core Web Vitals, GEO, backlinks, and performance, generating a 0-100 health score. Other sub-skills score drafts for E-E-A-T signals, readability, and AI citation readiness (seo-content), evaluate AI-crawler accessibility for GPTBot, ClaudeBot, and PerplexityBot plus llms.txt compliance (seo-geo), and detect, validate, and generate Schema.org structured data in JSON-LD (seo-schema). One roundup notes it can replace a multi-hour Screaming Frog + Lighthouse + schema-check sweep for a new client baseline. For marketers running recurring SEO work, it functions as a full-stack SEO department in a single skill collection.

Best for: SEO agencies, consultants, and in-house teams that want an agency-grade, full-stack SEO audit and optimization suite running inside Claude Code.

Pricing: Free and open source on GitHub

Key features

• 25 sub-skills and 18 sub-agents covering technical SEO, E-E-A-T, schema, GEO/AEO, backlinks, local, and international SEO
• seo-audit crawls up to 500 pages with a 0-100 health score and specialist sub-skill delegation
• seo-content scores drafts for E-E-A-T signals, readability, depth, and AI citation readiness
• seo-geo scores AI-crawler accessibility (GPTBot, ClaudeBot, PerplexityBot) and llms.txt compliance
• seo-schema detects, validates, and generates Schema.org JSON-LD structured data
• Programmatic SEO page generation from keyword lists and content templates
• Per-URL scorecards with prioritized fixes via seo-page

Pros

• The most comprehensive SEO skill collection identified in the research, spanning traditional and AI search
• Covers both classic technical SEO and emerging GEO/AEO optimization for AI search
• Open source with an active community (parent repo 7,000+ GitHub stars)
• Sub-skill architecture keeps each job focused instead of one bloated skill

Cons

• Large multi-skill package may add token overhead if many sub-skills are installed at once
• Full-stack SEO depth assumes some SEO knowledge to interpret audit output
• As a community skill, it lacks independent verification of its claims

Visit Claude SEO (AgriciDaniel/claude-seo)

#3 Marketing Skills by Corey Haines

Corey Haines' marketingskills repository is described in the research as the most-used marketing skill pack right now. Haines — who runs Swipe Files and Conversion Factory — built a bundle covering CRO, copywriting, SEO, analytics tracking, and email sequences in one place, and it works with Claude Code, Cursor, Windsurf, and anything on the Agent Skills spec. The curated AgenticSkills directory lists it as a marketing skills bundle for CRO, copywriting, SEO, analytics, paid ads, lifecycle email, and growth engineering with over 54,000 S-rank installs, and it appears in multiple 2026 entrepreneur and marketing roundups as the default starting point for founders who want one repo to cover most marketing needs. According to the research, individual skills include copy-editing — which triggers when you want to edit, review, or improve existing marketing copy, refresh outdated content, or run a content audit. For solo founders and small marketing teams, it packages a practitioner's playbooks into a form Claude can apply consistently across landing pages, emails, and ads.

Best for: Startup founders, solopreneurs, and small marketing teams who want one practitioner-built repo covering most of their marketing workflow.

Pricing: Free and open source on GitHub

Key features

• 25 skills covering CRO, copywriting, SEO, launch strategy, and pricing
• Works with Claude Code, Cursor, Windsurf, and other agents on the Agent Skills spec
• copy-editing skill for editing, reviewing, and refreshing marketing copy and content audits
• Covers analytics tracking, paid ads, and lifecycle email workflows
• Bundle spans copywriting, CRO, SEO, analytics, and growth engineering

Pros

• Built by a recognized SaaS marketer, not generated filler — noted in research as 'the most-used marketing skill pack right now'
• Broad coverage from copywriting to CRO to email in a single repo
• Portable across Claude Code, Cursor, Windsurf, and other agents supporting the spec
• Free and open source

Cons

• Broad scope means individual skills may be less deep than specialized alternatives
• Quality can vary across a 25-skill bundle
• No independent benchmarking of whether each skill improves agent output

Visit Marketing Skills by Corey Haines

#4 Coupler.io Marketing Analytics Skills

For marketers whose bottleneck is data rather than copy, Coupler.io's Claude skills connect your agent to live marketing data. According to the research, the Marketing analytics skill queries data from Google Ads, Meta, Klaviyo, GA4, Search Console, and other sources connected through Coupler.io, producing period-over-period change, trend detection across 4+ periods, channel efficiency comparisons (CPA, ROAS, CPM), and 2-3 critical recommendations, plus anomaly detection with severity tagging. The PPC analytics skill traces each platform's funnel from impression to conversion, builds efficiency comparison tables across ad accounts, splits brand from non-brand traffic, and includes budget pacing for Google Ads, Meta Ads, and TikTok Ads. A third skill, Google Ads Waste And Scale, works at the search-term level to flag non-converting queries, recommend negatives, and size budget headroom for campaigns beating target — with a documented do-not-cut list for every rejected change. The skills are available through the Coupler.io connector for Claude, the skills library, or the open-source GitHub repository, and require a Coupler.io account plus the Coupler.io MCP connected to Claude.

Best for: Performance marketers, PPC managers, and agencies that need their Claude agent to analyze real, live campaign data instead of guessing.

Pricing: Coupler.io offers a free tier to get started; full pricing requires contacting Coupler.io or checking their plans

Key features

• Marketing analytics skill across Google Ads, Meta, Klaviyo, GA4, Search Console, and more via Coupler.io
• Cross-channel efficiency comparisons (CPA, ROAS, CPM) with period-over-period trends and anomaly detection with severity tagging
• PPC analytics with per-platform funnel traces and brand vs non-brand traffic splitting
• Budget pacing for Google Ads, Meta Ads, and TikTok Ads to catch overspend mid-month
• Google Ads Waste And Scale: search-term-level waste flags, negative keyword recommendations, and scale headroom sizing
• Dedicated client-report skills for Google Ads, Facebook Ads, and TikTok Ads

Pros

• Runs against your live connected data, so numbers are real rather than estimated
• Anomaly detection with severity tagging helps prioritize urgent metric changes
• Waste-and-scale skill documents rejected items with reasons for stakeholder transparency
• Client-report skills handle the last mile of stakeholder-ready narratives

Cons

• Requires a Coupler.io account with marketing platforms connected plus the Coupler.io MCP set up with Claude
• Depth depends on which data sources you actually connect
• Less useful for teams whose data lives outside the supported connectors

Visit Coupler.io Marketing Analytics Skills

#5 GEO / AEO Skill (AI Search Optimization)

Getting cited by ChatGPT, Perplexity, and Google AI Overviews is the 2026 evolution of SEO, and this skill — highlighted in Composio's marketing skills roundup — is built specifically for it. According to the research, the GEO/AEO skill optimizes content to get cited by ChatGPT, Perplexity, Google AI Overviews, and Gemini: it scores citability, generates llms.txt files so AI crawlers understand your site structure, adds schema markup, and outputs a client-ready PDF audit report. The research notes a full GEO audit scores citability, AI crawler access, brand mention presence, schema markup, content factual density, and E-E-A-T signals across 13 dimensions, and that agencies typically charge $2,000-$12,000 for equivalent GEO reports. It also optimizes existing blog posts for AI citation with E-E-A-T signals, entity clarity, and FAQ schema injection. For content teams that have already nailed traditional SEO and are now competing for visibility inside AI answers, this is the most directly relevant specialized skill identified in the research.

Best for: Content and SEO teams competing for visibility inside AI search answers, and agencies selling GEO/AEO audits to clients.

Pricing: Free and open source on GitHub

Key features

• Optimizes content for citation by ChatGPT, Perplexity, Google AI Overviews, and Gemini
• Scores citability across 13 dimensions including AI crawler access, schema markup, and E-E-A-T signals
• Generates llms.txt files for AI crawler site understanding
• FAQ schema JSON-LD injection for top pages
• Outputs a branded, client-ready PDF GEO audit report
• Optimizes existing posts with E-E-A-T signals and entity clarity

Pros

• Focused on the fastest-emerging channel in search: AI answer engines
• Client-ready PDF reports replace what agencies charge thousands for, according to the research
• Covers both auditing existing content and generating optimization assets like llms.txt and FAQ schema

Cons

• Narrowly focused on AI search — you'll still need traditional SEO skills alongside it
• AI search optimization is a fast-moving target and scoring criteria may age quickly
• As a community skill, output quality depends on the underlying model and data access

Visit GEO / AEO Skill (AI Search Optimization)

#6 content-research-writer (ComposioHQ/awesome-claude-skills)

Long-form content is where most marketing AI workflows either shine or embarrass themselves, and the content-research-writer skill from the ComposioHQ awesome-claude-skills collection (over 62,000 GitHub stars for the parent repo, per the research) is built to ensure the former. According to the research, it turns a topic into a researched, sourced, publication-ready markdown article through multi-pass web search, primary-source collection, an outline stage, and section-by-section drafting with live feedback. Marketers quoted in the research say it replaces dedicated content-brief tools for any 1,500+ word post where research is the bottleneck, producing briefs and drafts with citations rather than unsourced AI prose. The skill sits inside a curated collection of 1,000+ production-ready skills and plugins, so it benefits from an actively maintained ecosystem. For content marketers who publish regularly and need drafts grounded in real sources — not hallucinated statistics — this is the most directly useful writing skill identified in the 2026 research.

Best for: Content marketers and bloggers producing 1,500+ word researched articles where sourcing and citations matter.

Pricing: Free and open source on GitHub

Key features

• Turns a topic into a researched, sourced, publication-ready markdown article
• Multi-pass web search and primary-source collection
• Outline stage before section-by-section drafting
• Live feedback during drafting
• Part of a curated 1,000+ skill collection with active maintenance

Pros

• Grounds drafts in collected primary sources rather than model memory
• Multi-pass workflow produces structured, citation-backed output
• Backed by one of the largest curated skill collections (62k+ parent repo stars)
• Free and open source

Cons

• Multi-pass research workflows consume more time and tokens than simple drafting
• Output still needs human editing and fact-checking before publication
• Requires web search access to deliver on its research promise

Visit content-research-writer (ComposioHQ/awesome-claude-skills)

#7 skill-creator (Anthropic official)

The meta-skill that makes every other entry on this list possible: Anthropic's official skill-creator, from the anthropics/skills repository (142,000+ parent repo stars per the research), interviews you on trigger language, steps, and references, then writes a new SKILL.md in the right shape. According to the research, it enforces the frontmatter contract, suggests good description wording — the part most people get wrong, since the description is what Claude pattern-matches against at startup — and scaffolds bundled files. For marketers, this is the skill to encode your own repeatable workflows: newsletter QA checklists, link-building outreach sequences, weekly reporting templates, brand-voice rules. Multiple 2026 roundups recommend installing it first, because every marketing workflow you run more than three times a week is a candidate to become a skill. It appears across nearly every major skills roundup this year, and its official Anthropic provenance makes it one of the safest defaults in an ecosystem where the research shows a meaningful share of community skills carry vulnerabilities.

Best for: Marketers who want to turn their own repeatable workflows — reporting, outreach, brand voice — into permanent, reusable agent skills.

Pricing: Free and open source

Key features

• Interviews you on trigger language, steps, and references, then writes a SKILL.md
• Enforces the frontmatter contract and suggests effective description wording
• Scaffolds bundled reference and script files
• Official Anthropic skill from the anthropics/skills repository
• Enables encoding of repeatable marketing workflows like newsletter QA, outreach, and reporting templates

Pros

• Official Anthropic skill — one of the safest defaults in the ecosystem
• Fixes the most common failure point in skill authoring: vague trigger descriptions
• Build-it-once, reuse-forever economics for repeatable marketing workflows
• Recommended first-install in multiple independent 2026 roundups

Cons

• Requires you to actually articulate your workflow — it scaffolds, it doesn't invent strategy
• Value depends on how many repeatable workflows you have to encode
• Quality of generated skills still depends on the quality of your inputs

Visit skill-creator (Anthropic official)

Conclusion

The Claude Code skills ecosystem in 2026 offers marketers an extraordinary range of capability: full-stack SEO audits, live cross-channel analytics, AI-search optimization, researched long-form content, and the ability to encode your own playbooks. But every one of those gains depends on a question the ecosystem hasn't answered: can you trust the skill you just installed? Published research found ~26% of skills carry at least one vulnerability, and star counts tell you nothing about whether a skill actually improves your agent's output. That's the gap SkillzBench is being built to close — independent verification, commit-SHA version pinning, security scanning, and sandboxed benchmarks that measure the real Lift of every skill, with and without, under the same model. Whether you start with the Claude SEO suite, Corey Haines' marketing pack, or Coupler.io's analytics skills, wrap them in a layer that proves they work. Skills, proven — join the SkillzBench waitlist today and be first in line when independent skill benchmarking goes live.

Frequently asked questions

What makes SkillzBench different from the skills on this list?

SkillzBench isn't a marketing skill itself — it's the independent testing lab and control panel for skills. Every other entry on this list is a skill that does a job; SkillzBench is being built to verify, benchmark, and manage skills themselves. It pins every version to a commit SHA, security-scans and license-checks each skill, and tests them in a sandbox with the same model, with and without the skill, to publish the Lift in percentage points. Its Trust score (0-100) draws from security, quality, license, maintenance, and community signals, and money never touches scores. Think of it as the layer that tells you whether the other six picks actually deliver.

Is SkillzBench available now?

SkillzBench is pre-launch and actively being built. The waitlist and newsletter are live at skillzbench.com, but the product itself is not yet public, so no live user counts, skill counts, or published benchmark results should be assumed. At launch, the initial scope covers instruction-only skills (SKILL.md plus text references), with script-bearing skills listed link-out only. Joining the waitlist is the best way to get access and updates.

Are Claude Code skills safe to install?

Mostly, but with real caveats. Published research found roughly 26% of skills carry at least one vulnerability, and other audits have found prompt injection and malicious payloads in the ecosystem. Best practices from the 2026 research: always read the full SKILL.md, audit any bundled scripts before installing community skills, prefer official repositories like anthropics/skills and partner skills from Vercel, Trail of Bits, and Remotion, and avoid skills with vague triggers or undocumented network calls. Independent verification and security scanning — the kind SkillzBench is building — is the more scalable answer.

Do Claude Code skills work for non-developers in marketing?

Yes, with a modest setup step. Skills are folders with a SKILL.md file that install into your skills directory (~/.claude/skills/ or .claude/skills/), and most are installed by cloning a GitHub repo. Once installed, they activate automatically when a task matches the skill's description. Marketers without a terminal can also build skills by asking Claude to write one from a described workflow, or by uploading a ZIP of a community skill through Claude's settings. The research shows marketers using skills to replace dedicated SaaS tools for SEO audits, content briefs, and reporting.

What's the difference between SEO and GEO/AEO skills?

Traditional SEO optimizes for ranking in search results — keyphrase placement, metadata, internal links, schema markup, and Core Web Vitals. GEO/AEO (Generative Engine Optimization / Answer Engine Optimization) optimizes for being cited inside AI answers from ChatGPT, Perplexity, and Google AI Overviews — direct answers in opening lines, question-phrased headings, named sources, dated statistics, AI-crawler accessibility, and llms.txt files. The best 2026 skills, like the Claude SEO suite, cover both spectrums, since ranking on Google and being quoted by an AI answer engine are now two separate jobs with two separate checklists.

How much do these skills cost?

Most of the skills on this list are free and open source on GitHub — Claude SEO, Corey Haines' Marketing Skills, the GEO/AEO skill, content-research-writer, and skill-creator all cost nothing to download. The exceptions are Coupler.io's analytics skills, which require a Coupler.io account (a free tier is available) to connect your live marketing data. The hidden cost is time and risk: vetting, maintaining, and trusting free skills is where a verification and benchmarking layer like SkillzBench earns its planned subscription pricing.

Which skill should I install first?

If you do SEO work, start with the Claude SEO suite (AgriciDaniel/claude-seo) — it's the most complete package in the research. If you're a founder or generalist marketer, start with Corey Haines' marketingskills repo. If your bottleneck is campaign data, start with Coupler.io's connector. And whichever you choose, install skill-creator so you can encode your own repeatable workflows. Then, before scaling up your skill collection, get on the SkillzBench waitlist — because the research is clear that not all skills are built to the same standard, and independent benchmarking is the only way to know which ones actually help.