adv-comp-research

Analyze GitHub repositories and web content to extract competitive feature and pricing details.

4|Updated Jan 22, 2026

Search Tags:#research #pricing #comparison #features #competitive #intelligence #market

Ready to run

npx skills add https://github.com/Sharper-Flow/Advance --skill adv-comp-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: adv-comp-research
Source: https://github.com/Sharper-Flow/Advance/tree/main/skills/adv-comp-research
Command: npx skills add https://github.com/Sharper-Flow/Advance --skill adv-comp-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the guesswork and manual effort involved in benchmarking competitors by providing a structured, repeatable methodology for analyzing both source code repositories and public product information.

Core Features & Use Cases

Dual-Mode Analysis: Automatically switches between deep source code inspection for GitHub repositories and web-based scraping for product documentation and pricing pages.
Structured Comparison: Generates standardized comparison tables and JSON-formatted findings to ensure data consistency across different research tasks.
Use Case: When evaluating a new market entrant, use this Skill to generate a side-by-side feature and pricing comparison between your project and the competitor to identify strategic gaps and advantages.

Quick Start

Use the adv-comp-research skill to analyze the competitive landscape for the provided repository URL and generate a comparison table.

Frequently Asked Questions about adv-comp-research

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

FAQPage Schema

How do I automate competitive intelligence research for GitHub repositories?▼

You perform competitive intelligence research by extracting feature sets, pricing, and architectural details from GitHub repositories or public web content. The process generates standardized comparison tables and JSON-formatted findings to ensure data consistency across different research tasks.

Can I generate a side-by-side feature and pricing comparison for product benchmarking?▼

Yes, side-by-side feature and pricing comparison is generated through structured output formats. The system creates standardized comparison tables and JSON-formatted findings to identify strategic gaps and advantages between your project and market competitors.

Do I need Firecrawl and Exa integrations to scrape competitor pricing pages?▼

Yes, Firecrawl and Exa integrations are required to perform web scraping and repository metadata extraction. These dependencies enable automated data collection from public web content and competitor pricing pages while maintaining strict read-only operational guardrails.

What is the best way to extract architectural details from a competitor's source code?▼

The best way to extract architectural details from source code is using the dual-mode analysis system. It automatically performs deep source code inspection for GitHub repositories to capture architectural information, while using web scraping for public product documentation.

Are there limitations when running read-only web scraping for market intelligence?▼

Read-only web scraping for market intelligence operates under strict operational guardrails that prevent any data modification. The approach is limited to extracting publicly accessible content and repository metadata, meaning it cannot access private or authenticated competitor data.