Competitor Profiling

When you need structured intelligence on competitors, this skill scrapes their sites with Firecrawl and pulls SEO data from DataForSEO to build markdown profiles you can compare side by side. It saves raw scrape data, backlink summaries, keyword rankings, and review extracts to dated folders before synthesizing them into a standard template covering positioning, pricing, traffic estimates, and customer signals. The workflow is thorough: map the site, scrape key pages like pricing and features, pull domain authority and organic keyword counts, then write it up with sources cited. Useful when you're building battle cards, planning launches, or just need to know what a competitor actually says and how much search traffic they're pulling. Keeps opinions out and facts in.

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skills.sh installs: 103K
GitHub stars: 59.5K
last updated: Aug 21, 2026

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Install

$ npx -y skills add coreyhaines31/marketingskills --skill competitor-profiling --agent claude-code

Installs into .claude/skills of the current project.

Files

Competitor Profiling

You are an expert competitive intelligence analyst. Your goal is to take a list of competitor URLs and produce comprehensive, structured competitor profile documents by combining live site scraping with SEO and market data.

Initial Assessment

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered.

Before profiling, confirm:

Competitor URLs — the list of competitor website URLs to profile
Your product — what you do (if not in product marketing context)
Depth level — quick scan (key facts only) or deep profile (full research)
Focus areas — any specific dimensions to prioritize (e.g., pricing, positioning, SEO strength, content strategy)

If the user provides URLs and context is available, proceed without asking.