One-click install
npx skills add https://github.com/rampstackco/claude-skills --skill seo-keyword
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-keyword
Source: https://github.com/rampstackco/claude-skills/tree/main/skills/seo-keyword
Command: npx skills add https://github.com/rampstackco/claude-skills --skill seo-keyword

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manual keyword research and intent analysis are time-consuming and error-prone. This skill automates discovery, classification, and clustering to surface high-potential keywords and organize them into actionable topic maps.

Core Features & Use Cases

  • Automated keyword discovery: Generate seed terms from briefs or topics and extend them with tool-agnostic methods.
  • Intent classification & clustering: Assign 4 intents (informational, navigational, commercial, transactional) and group keywords into topic clusters for content strategy.
  • Prioritization & outputs: Produce a structured keyword sheet with volume/difficulty estimates and cluster summaries for content planning.
  • Use Case: Plan a quarterly content sprint by mapping 200–500 candidate keywords to 1–2 pillar topics.

Quick Start

Provide a topic brief and seed terms to start keyword discovery and intent framing.

Frequently Asked Questions about seo-keyword

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I categorize keywords by search intent for content strategy?

This Skill categorizes keywords by search intent using a four-stage workflow: discover, classify, cluster, and prioritize. It assigns informational, navigational, commercial, or transactional intent to group candidate terms into actionable topic maps for content strategy.

What is the best way to group seed terms into topic clusters for SEO?

The best way to group seed terms into topic clusters is by extending them with tool-agnostic discovery methods and organizing them around 1-2 pillar topics. This produces structured cluster summaries for quarterly content sprints.

Can I map 200 to 500 candidate keywords to pillar topics without external tools?

Yes, you can map 200 to 500 candidate keywords to pillar topics using manual data inputs. The Skill supports tool-agnostic discovery methods to generate seed terms from topic briefs and output a structured keyword sheet without requiring external tools.

How do I prioritize keywords with volume and difficulty estimates?

You prioritize keywords by producing a structured keyword sheet containing volume and difficulty estimates. This output, generated during the prioritization stage, highlights high-potential candidate terms to focus on for content planning.

Does this keyword research workflow support competitor keywords and SERP analysis?

Yes, the keyword research workflow supports competitor keywords and SERP analysis by incorporating them into the discovery stage. This helps surface high-potential terms and categorize them by intent for accurate topic clustering.