seo-keyword-researcher

Research SEO keywords for any topic and generate a complete article brief with primary keyword, secondary keywords, competition analysis, article structure, and SEO recommendations. Use when: (1) planning new content for TechStack.dev, (2) researching keywords for SEO articles, (3) creating content strategy, (4) identifying low-competition keywords, (5) building an article outline. Triggers on: keyword research, SEO article ideas, what keywords should I target, article topic research, SEO brief, content planning, keyword analysis.

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Install skill "seo-keyword-researcher" with this command: npx skills add kryzl19/seo-keyword-researcher-kryzl19

SEO Keyword Researcher

Research keywords and produce a complete article brief ready for writing.

Workflow

Step 1: Seed Research

Run 3 searches simultaneously:

web_search: "[topic] + '2026'" (get trending angle)
web_search: "[topic] best/top X compared 2026"
web_search: "[topic] guide tutorial how to 2026"

Step 2: Competitor Analysis

Fetch the top 2-3 ranking pages from results:

web_fetch: [top URL], maxChars=3000 each

Extract: title structure, H2 headings, word count, featured snippet patterns.

Step 3: Generate Keyword Cluster

From the seed searches and competitor analysis, identify:

  • Primary keyword: Highest search intent match, moderate competition
  • Secondary keywords (5-10): Long-tail variations, questions, comparisons
  • Question keywords: "how to", "what is", "why does", "best way to"
  • LSI keywords: Related terms that signal topical authority

Step 4: Write Article Brief

Output a markdown brief with:

  1. Article title (H1) — include primary keyword
  2. Meta description (155 chars max)
  3. Primary + secondary keywords
  4. Competitor gap analysis
  5. Recommended article structure (H2s with sub-points)
  6. Word count target
  7. SEO recommendations (internal links to add, CTA to include)

Reference

See references/seo-checklist.md for the on-page SEO checklist to apply before publishing. See references/keyword-research-methods.md for advanced keyword clustering techniques.

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