
Keyword Research
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-codeInstalls 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.
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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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