app-competition-reporting

Name: app-competition-reporting
Availability: InStock
Author: lyd031106

Generate competitor research reports using Python libraries and appstore data.

4|Updated Mar 25, 2026

Search Tags:#report generation #competitive intelligence #market research #competitor analysis #app analysis

Ready to run

npx skills add https://github.com/LYD031106/app-competition-skills --skill app-competition-reporting

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: app-competition-reporting
Source: https://github.com/LYD031106/app-competition-skills/tree/main/skills/app-competition-reporting
Command: npx skills add https://github.com/LYD031106/app-competition-skills --skill app-competition-reporting

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires appstore-mcp, mcp-appstore, requests, beautifulsoup4, pandas, matplotlib, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the generation of detailed competitor research reports, saving time and reducing errors in analyzing market trends and competitor dynamics.

Core Features & Use Cases

Competitor Research Reports: Generates in-depth reports comparing recent releases, top-3 screenshot diffs, and keyword rank changes across reporting windows.
Market Analysis: Provides insights into market trends, competitor changes, and their impact on the target product.
Use Case: Imagine you need to analyze the performance of your app against top competitors. Use this Skill to automatically generate a report with screenshots, keyword rankings, and actionable insights.

Quick Start

Use the app-competition-reporting skill to generate a monthly deep dive report for the app 'TargetApp' in the 'PrimaryMarket'.

Frequently Asked Questions about app-competition-reporting

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

FAQPage Schema

How do I automate competitor research report generation for app analysis?▼

Automate competitor research report generation by using Python libraries to retrieve and analyze app data. This approach extracts competitor dynamics, recent releases, and keyword rank changes to produce comprehensive insights without manual data entry.

What is competitive intelligence in the context of app market research?▼

Competitive intelligence in app market research involves tracking competitor dynamics, monitoring keyword rank changes, and comparing top screenshots across reporting windows. It provides actionable insights into market trends and their impact on a target product.

Do I need appstore-mcp to generate competitive intelligence reports?▼

Yes, you need appstore-mcp and mcp-appstore to retrieve app store data for competitive intelligence reports. The report generation process also depends on requests, beautifulsoup4, pandas, and matplotlib for data scraping, processing, and visualization.

Can I use Python pandas and matplotlib for app competitor analysis?▼

Yes, this competitor analysis approach uses pandas for data processing and matplotlib for visualizing market research data. These Python libraries process the app data retrieved via appstore-mcp to generate structured reports and visual diffs.

What's the best way to compare app screenshots and keyword rankings across reporting windows?▼

The best way to compare app screenshots and keyword rankings is to automate the diffing process using Python scripts. This method extracts top-3 screenshot differences and keyword rank changes over specific reporting windows to highlight competitor updates.

What are the limitations of automating market research with Python libraries?▼

Limitations of automating market research with Python libraries include dependency on appstore-mcp availability and potential scraping restrictions from requests and beautifulsoup4. Complex competitor analysis scenarios may require manual review of automated keyword rank and screenshot diff outputs.