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PythonReactSEOPDF
GitHub Skill

keyword-research

Identify high-value, low-competition keywords for Ontario therapy practice. Analyzes Ahrefs/GSC data to find opportunities, calculates priority scores (volume + difficulty + intent), identifies quick wins under difficulty 40, detects cannibalization risks, maps keywords to content types, and suggests topic clusters. Use when user asks "what keywords should I target", mentions "keyword research", provides Ahrefs data, or when planning content strategy.

jhcynamon1☆ 0 Repository stars0 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

Features and purpose

Identify high-value, low-competition keywords for Ontario therapy practice. Analyzes Ahrefs/GSC data to find opportunities, calculates priority scores (volume + difficulty + intent), identifies quick wins under difficulty 40, detects cannibalization risks, maps keywords to content types, and suggests topic clusters. Use when user asks "what keywords should I target", mentions "keyword research", provides Ahrefs data, or when planning content strategy.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

Guides ↗

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-01-26
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

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