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SEO Keyword Cluster Skill by @seranking

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github stars★ 189updatedJun 2026repo@seranking

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$git clone https://github.com/seranking/seo-skills

The skill is the skills/seo-keyword-cluster folder inside that repository. Copy it into the folder your agent loads skills from; check your agent's documentation for where that is.

about SEO Keyword Cluster Skill by @seranking

Build a content cluster plan from seed keywords — intent-grouped clusters, pillar+spokes architecture with H1/H2 suggestions per spoke, prioritised build order.

our take

Turns seed keywords into a content cluster plan: intent-grouped clusters, a pillar and spokes structure with suggested headings, a prioritised build order and an internal-linking map.

when to use it

You are planning a topic cluster around a seed keyword
You need an internal linking map before writing
You want a build order for a content programme

before you install

Uses SE Ranking data, so it needs an account and connection
A plan helps only if the pages that follow are genuinely useful

what's inside

The original SKILL.md is organised into these sections:

Prerequisites
Process
Output format
Summary
Build order
Cluster 1: {cluster name} [PILLAR]
Cluster 2: {cluster name} [SPOKE-ONLY]
Internal linking map
Quality scorecard
Raw data
Tips

source and license

Written and maintained by @seranking. It is published under the MIT license, which allows reuse with attribution. SkillDirectory does not claim authorship: this page adds our own review and links back to the original, and the skill's text belongs to its author.

View the full SKILL.md on GitHub ↗

Read the opening of the original SKILL.md

> Example output: [examples/seo-keyword-cluster-headless-cms-20260514/PLAN.md](../../examples/seo-keyword-cluster-headless-cms-20260514/PLAN.md)

# Keyword Cluster

Transform seed keywords into a prioritised cluster plan: each cluster grouped by search intent and theme, with volume totals, a pillar concept, spoke articles, and suggested H1/H2 for each spoke.

## Prerequisites

- SE Ranking MCP server connected.
- User provides: (a) 3 to 20 seed keywords, (b) target market country (default: `us`), and optionally (c) minimum volume threshold (default: 100/mo), (d) maximum KD (default: 60).

## Process

1. **Expand seeds** `DATA_getRelatedKeywords`, `DATA_getSimilarKeywords`, `DATA_getLongTailKeywords`
   - For each seed, pull related + similar + long-tail variants in the target country.
   - Target at least 100 candidate keywords per seed; de-duplicate across seeds.

2. **Question-based expansion** `DATA_getKeywordQuestions`
   - Pull question-intent keywords for the top 5 seeds.
…

Excerpt only, quoted from the author's repository. Open the repository for the complete file.

↓ download .zip