gr-competitor

Collect landing pages, pricing pages, and top blog posts from up to 10 competitors.

67|4|Updated May 25, 2026

Search Tags:#pricing #benchmark #analyze #landing-pages #competitor #blogs #wayback

Ready to run

npx skills add https://github.com/Gingiris-1031/gingiris-skills --skill gr-competitor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gr-competitor
Source: https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/gr-competitor
Command: npx skills add https://github.com/Gingiris-1031/gingiris-skills --skill gr-competitor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Bulk scans of competitors’ pages across landing pages, pricing pages, and top blog posts, with Wayback history, enabling rapid benchmarking and strategy decisions.

Core Features & Use Cases

Bulk crawl: capture titles, headings, intros, and top blog posts for up to 10 competitors
Pricing teardown: compare pricing tiers and features across rival products
Wayback history: track changes over time to detect shifts in positioning
Orchestration: powered by actionbook to run up to 30 tabs in parallel while minimizing token usage

Quick Start

Scan 10 competitors’ landing pages, pricing pages, and top blog posts in parallel and generate a structured comparison report.

Frequently Asked Questions about gr-competitor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I bulk scan competitor websites for landing pages, pricing, and blogs?▼

Bulk scan competitors by crawling up to 10 rival websites in parallel to extract landing pages, pricing tiers, and top blog posts, delivering structured benchmarking data and a consolidated report.

How does competitor pricing teardown work across multiple rivals?▼

Competitor pricing teardown works by extracting and comparing pricing tiers and features across up to 10 rival products simultaneously, producing structured data outputs to enable actionable pricing strategy decisions.

Can I track competitor positioning changes using Wayback history?▼

Wayback history tracks competitor website changes over time to detect shifts in positioning and strategy, allowing you to compare historical landing pages and pricing structures against current versions.

What is the maximum number of competitors I can analyze in a single batch?▼

You can analyze a maximum of 10 competitors in a single batch, with orchestration running up to 30 concurrent browser tabs in parallel to minimize token usage while extracting structured data.

How do I generate a structured comparison report from competitor data?▼

Generate a structured comparison report by running parallel bulk crawls that capture titles, headings, intros, and blog posts, transforming raw web content into token-efficient structured outputs for benchmarking.

Does competitor analysis require raw DOM extraction or produce structured data?▼

Competitor analysis produces structured data rather than raw DOM extraction, using token-efficient extraction under the hood to capture actionable benchmarking information across landing pages and pricing tiers.