r20-glebis-seo-content-marketing-skills

A suite of SEO and content marketing commands and workflows for Claude, providing tools for keyword research, content audits, technical SEO, competitor analysis, and link building.

633

Installs

Use cases

5/10

Quality

Is r20-glebis-seo-content-marketing-skills safe to install?

Review the source first

Review the source first: our audit of r20-glebis-seo-content-marketing-skills's source files found 7 shell commands, 2 external URLs, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill requires cloning external repositories, reading local configuration files, and supports API key integration for third-party SEO services.

How we audit skills: our security review methodology.

Who is this skill for?

SEO specialists, content marketers, and website owners using Claude Code.

What can you do with it?

Keyword research and intent mapping
Content audits for quality and duplication
Technical SEO audits including Core Web Vitals and schema validation
Competitor gap analysis for backlinks and content
Content calendar and brief generation
Local SEO and NAP consistency checks
Automated content production pipelines

How good is this skill?

Quality score: 5/10. The skill provides comprehensive documentation, clear command structures, and structured output examples. It follows standard CLI patterns for Claude Code.

What does the skill file contain?

SKILL.md

# r20-glebis-seo-content-marketing-skills

> Skill by [ara.so](https://ara.so) — Marketing Skills collection.

A specialized SEO & Content Marketing command suite derived from `glebis/claude-skills`, providing 10 domain-specific commands and 5 multi-step workflows with structured output, progress tracking, and actionable recommendations.

## What This Skill Does

This skill suite transforms Claude into an SEO & Content Marketing specialist with:

- **Keyword Research** — clustering, intent mapping, and opportunity scoring
- **Content Audits** — quality analysis, duplication detection, cannibal...

Frequently asked questions

How do I install this skill?

You can clone the repository manually into your ~/.claude/skills/ directory or use the /load-skill command with the repository URL.

Does this skill require external API keys?

Yes, it supports optional API keys for Semrush, Ahrefs, and Moz to access external data sources.

How can I troubleshoot 'unknown command' errors?

Reload the skill by running /read on the SKILL.md file or reinstall the skill by removing and copying the directory again.

Data sourced from aradotso/marketing-skills on GitHub. Install counts from skills.sh. The summary and security audit are derived from the skill's source files: every command and URL listed appears verbatim in the source.

Install

Works with Claude Code, Cursor, Codex CLI, and 50+ agents.

Manual install paths per agent

Claude Code: .claude/skills/ or ~/.claude/skills/

Codex CLI: .codex/skills/ or ~/.codex/skills/

GitHub Copilot: .github/skills/ or ~/.copilot/skills/

Amp: .agents/skills/ or ~/.config/agents/skills/

Copy the skill folder (with SKILL.md) into the project or global directory.

Security audit

high risk

Commands

URLs

Yes

File I/O

The skill requires cloning external repositories, reading local configuration files, and supports API key integration for third-party SEO services.

View commands and endpoints

$ git clone https://github.com/OhmWhaleIncrease/r20-glebis-claude-skills-seo.git

$ mkdir -p ~/.claude/skills/

$ cp -r r20-glebis-claude-skills-seo ~/.claude/skills/

$ /read ~/.claude/skills/r20-glebis-claude-skills-seo/SKILL.md

$ /load-skill https://github.com/OhmWhaleIncrease/r20-glebis-claude-skills-seo

$ rm -rf ~/.claude/skills/r20-glebis-claude-skills-seo

$ cat ~/.claude/skills/r20-glebis-seo/config.yaml

https://github.com/OhmWhaleIncrease/r20-glebis-claude-skills-seo.git

https://github.com/OhmWhaleIncrease/r20-glebis-claude-skills-seo

Sourcearadotso/marketing-skills

Installs633

Quality5/10

seo content-marketing automation analytics claude-skills

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