About keyword-research
A keyword research skill for SEO teams planning new markets, assessing content clusters, or refreshing keyword maps. It structures research around expansion, intent classification, opportunity scoring, and prioritization.
Key features
- 01Capture seed terms and customer context
- 02Expand from suggestions, competitors, and forums
- 03Classify funnel stage and search intent
- 04Score volume, difficulty, and seasonality
- 05Rank opportunities by business impact
Use cases
- 01Planning SEO for a new product or vertical
- 02Deciding which clusters merit new content
- 03Refreshing outdated keyword maps
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/keyword-researchin Claude Code to confirm it loaded.
Details
From the project READMEKeyword Research Systems Skill
When to Use
- Kicking off a new product/vertical SEO plan.
- Validating which clusters justify net-new content.
- Refreshing legacy keyword maps with updated volumes/intent.
Framework
- Seed Intake – capture ICP, problems solved, solution terms.
- Expansion Sources – combine auto-suggest, People Also Ask, competitor URLs, forums.
- Classification – assign funnel stage + intent (informational, commercial, transactional, navigational).
- Scoring – evaluate search volume, keyword difficulty, SERP click potential, seasonality.
- Prioritization – stack rank via ICE/RICE or weighted scoring tied to business impact.
Templates
- Cluster worksheet
Topic → Intent → Page Type → Owner. - SERP teardown table (result type, schema, search feature presence).
- Opportunity score calculator (volume * intent-fit / difficulty).
Tips
- Map 1 pillar page for every 4-6 cluster articles to support internal linking.
- Track query freshness to schedule refresh cadences.
- Align with paid search data to spot immediate conversion opportunities.
Comments
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