This walks you through the full keyword research workflow: finding seed keywords from your product context, expanding them with Google autocomplete's alphabet method (typing "keyword a" through "keyword z" to catch long-tail queries), clustering by search intent, and mapping everything to a pillar-cluster content structure. It pulls from project context files when available and emphasizes practical discovery over just plugging terms into tools. The SERP overlap clustering is solid, and the functional keyword section (words ending in -er/-or like "converter" or "generator") is genuinely useful for product positioning. It's opinionated about low-volume keywords being worth targeting and treats SEO-PPC alignment as a first-class concern, not an afterthought.

skills.sh installs
1.5K
GitHub stars
1.1K
last updated
Aug 21, 2026

Install

$ npx -y skills add kostja94/marketing-skills --skill keyword-research --agent claude-code

Installs into .claude/skills of the current project.

Files

This walks you through the full keyword research workflow: finding seed keywords from your product context, expanding them with Google autocomplete's alphabet method (typing "keyword a" through "keyword z" to catch long-tail queries), clustering by search intent, and mapping everything to a pillar-cluster content structure. It pulls from project context files when available and emphasizes practical discovery over just plugging terms into tools. The SERP overlap clustering is solid, and the functional keyword section (words ending in -er/-or like "converter" or "generator") is genuinely useful for product positioning. It's opinionated about low-volume keywords being worth targeting and treats SEO-PPC alignment as a first-class concern, not an afterthought.

Browse the repository on GitHub

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Details

Repository
github.com/kostja94/marketing-skills
Categories
Data Science & ML, Marketing & SEO
First seen
May 16, 2026

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