Agent Skills › kostja94/marketing-skills › keyword-clustering

keyword-clustering

GitHub

Groups candidate keywords by user task and tests whether one page can satisfy them. Use for same-page decisions, mixed intent and adjacent queries.

skills/keyword-clustering/SKILL.md kostja94/marketing-skills

Install

npx skills add kostja94/marketing-skills --skill keyword-clustering -g -y
More Options

Use without installing

npx skills use kostja94/marketing-skills@keyword-clustering

指定 Agent (Claude Code)

npx skills add kostja94/marketing-skills --skill keyword-clustering -a claude-code -g -y

安装 repo 全部 skill

npx skills add kostja94/marketing-skills --all -g -y

预览 repo 内 skill

npx skills add kostja94/marketing-skills --list

SKILL.md

Frontmatter
{
    "name": "keyword-clustering",
    "metadata": {
        "version": "1.0.1"
    },
    "description": "Groups candidate keywords by user task and tests whether one page can satisfy them. Use for same-page decisions, mixed intent and adjacent queries."
}

Keyword Clustering

For each candidate, identify the user's starting state, operation, desired result and next action. Group tentative variants only when one focused page can fully serve them. Check product capability and expected page type. Compare actual ranking URLs and page types in the target locale when available. Record market and date. If search evidence and task analysis disagree, explain the disagreement and leave the decision pending.

Keep the base expression family visible across the handoff. Assign variants to a page cluster or mark their intent pending. A process noun can attract both tool users and readers researching the method; compare page types before deciding. Deduplicate exact repeats while preserving meaningful wording differences.

Classify relationships as same-page variants, parent/child, adjacent tasks, conditional modifiers, mixed intent or exclusions. Free, bulk and API can change the required experience. Shared vocabulary or overlapping results alone cannot establish compatibility. For example, removing white to obtain transparency and adding white for a product listing have opposite output requirements.

Return a representative term, same-page variants, concrete task, expected asset, adjacent clusters, evidence and unresolved check. Preserve hypotheses when evidence is thin. Hand clusters to keyword-opportunity or keyword-mapping; content-strategy owns broader topic organization.

Version History

  • ac823a1 Current 2026-11-07 14:24

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Metadata

Files
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Version
ac823a1
Hash
11f63b83
Indexed
2026-11-07 14:24

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