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keyword-research

Research keywords via the connected data source: intent, gaps. Grouping → keyword-cluster. "what keywords should we target"

plugins/indranilbanerjee/digital-marketing-pro/skills/keyword-research/SKILL.md

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# /digital-marketing-pro:keyword-research

> **Script location.** If your host does not set `${CLAUDE_PLUGIN_ROOT}`, the scripts are in this plugin's `scripts/` folder, next to `skills/`. Run them with Python 3.10 or newer: `python`, or `python3` where `python` is not found (macOS, many Linux systems).

## 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)