keyword-research
Research keyword expansion, intent, and gaps. Use when: mapping search intent, finding content gaps, or long-tail discovery.
npx skills add indranilbanerjee/digital-marketing-pro --skill keyword-research --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# /digital-marketing-pro:keyword-research ## Purpose Standalone keyword *research* tool — expansion, search-intent classification, and competitor gap analysis. Produces a prioritized, intent-classified keyword list with content recommendations. Volume and keyword-difficulty figures come from the brand's connected keyword MCP (Ahrefs / Semrush / SE Ranking / GSC) — this skill surfaces and interprets them, it does not fabricate them. **Clustering into a pillar+spokes plan is delegated to `/digital-marketing-pro:keyword-cluster`** (the `keyword_cluster.py` engine); this skill produces the seeds that skill consumes. ## Input Required The user must provide (or will be prompted for): - **Seed keywords or topic**: Starting keywords, a topic area, or a URL to extract keyword themes from - **Target audience**: Who the content is intended to reach (demographics, expertise level, pain points) - **Industry**: The vertical or niche to contextualize volume and difficulty estimates - **Competitor domains**: Optional -- 1-3 competitor domains to run content gap analysis against - **Target market/language**: Geographic and language targeting for volume estimates - **Content goals**: Traffic, leads,
- Purpose
- Input Required
- Process
- Output
- Tips & caveats
- Agents Used
What does the keyword-research skill do?
Research keyword expansion, intent, and gaps. Use when: mapping search intent, finding content gaps, or long-tail discovery.
How do I install it?
Run `npx skills add indranilbanerjee/digital-marketing-pro --skill keyword-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From indranilbanerjee/digital-marketing-pro, a repository with 700 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.