Verified:GitHub

competitive-teardown

Analyze competitor products from pricing pages, reviews, job posts, and social media.

2|Updated Mar 13, 2026

Search Tags:#competitive intelligence #product strategy #market research #competitor analysis #feature comparison #swot analysis

Ready to run

npx skills add https://github.com/zhangzhang-111-i/claude-skills111 --skill competitive-teardown

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: competitive-teardown
Source: https://github.com/zhangzhang-111-i/claude-skills111/tree/main/product-team/competitive-teardown
Command: npx skills add https://github.com/zhangzhang-111-i/claude-skills111 --skill competitive-teardown

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of gathering and synthesizing competitive intelligence, providing actionable insights into competitor strategies, product offerings, and market positioning.

Core Features & Use Cases

Comprehensive Data Collection: Gathers data from pricing pages, app store reviews, job postings, SEO signals, and social media.
Structured Analysis: Produces feature comparison matrices, SWOT analyses, positioning maps, UX audits, and pricing breakdowns.
Use Case: Before a product strategy session, use this Skill to understand how your product stacks up against key competitors across 12 dimensions, identify market gaps, and inform roadmap decisions.

Quick Start

Use the competitive-teardown skill to analyze competitor products and companies.

Frequently Asked Questions about competitive-teardown

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

FAQPage Schema

How do I conduct a competitor analysis for a product strategy session?▼

Competitor analysis for product strategy involves synthesizing data from pricing pages, app store reviews, job postings, and SEO signals into structured intelligence like feature comparison matrices and SWOT analyses to inform roadmap decisions.

What's the best way to build battle cards for sales from market research?▼

Building battle cards from market research requires synthesizing competitor data into structured positioning maps, pricing model breakdowns, and feature comparison matrices scored across multiple dimensions to highlight competitive advantages.

Can I generate a feature comparison matrix scored across multiple product dimensions?▼

Yes, generating a feature comparison matrix involves scoring competitor products across 12 distinct dimensions, synthesizing inputs from app store reviews and SEO signals to produce a structured competitive intelligence overview.

How do I perform a SWOT analysis and UX audit from competitor pricing pages and social media?▼

Performing a SWOT analysis and UX audit involves collecting competitor data from pricing pages, social media, and job postings, then synthesizing those signals into structured assessments of market positioning and product strengths.

Does this competitive intelligence tool work with PDF reports and job postings?▼

Yes, competitive intelligence gathering processes PDF reports using pdfplumber and pypdf dependencies, while also synthesizing unstructured data from job postings, SEO signals, and app store reviews into actionable insights.

What limitations exist when automating competitive teardowns from app store reviews and SEO signals?▼

Automating competitive teardowns relies on the availability and accessibility of public data streams like app store reviews and SEO signals; analysis quality is constrained when competitors lack sufficient public pricing pages or social media presence.