competitive-intel

Store and analyze competitive data in a centralized SQLite matrix.

Updated Oct 17, 2025

Search Tags:#sqlite #tagging #competitive #matrix #intelligence #crawl #exports

Ready to run

npx skills add https://github.com/x85446/claudecodetricks --skill competitive-intel-x85446

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: competitive-intel
Source: https://github.com/x85446/claudecodetricks/tree/main/skills/competitive-intel
Command: npx skills add https://github.com/x85446/claudecodetricks --skill competitive-intel-x85446

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Competitive intelligence data for products is often scattered across docs, spreadsheets, and notes. This skill centralizes competitive facts in a single SQLite-based matrix, ensuring an auditable, up-to-date source of truth for product decisions.

Core Features & Use Cases

Centralized matrix: stores products, competitors, features, and assessments in a structured schema.
Crawl and score: researchers gather data from competitor sites and score features for rapid comparison.
Tagging and exports: features can be tagged for downstream outputs (web pages, slides, reports) and exported in multiple formats.
Real-world use case: for izuma-edge, maintain a matrix of competitors with feature scores and export dashboards.

Quick Start

Create a new product entry, add competitors and features, then crawl and export the matrix.

Frequently Asked Questions about competitive-intel

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

FAQPage Schema

How do I centralize competitive intelligence data scattered across spreadsheets and notes?▼

Centralize competitive intelligence by storing products, competitors, features, and assessments in a structured SQLite matrix. This creates an auditable, up-to-date source of truth for product decisions, replacing scattered docs and spreadsheets with traceable data.

What's the best way to crawl competitor sites and score features for comparison?▼

Crawl competitor sites and score features using a centralized SQLite matrix that enforces traceable assessments and documented sources. Researchers gather data, categorize results, and tag features for rapid, reproducible comparison across competitors.

Can I export competitive analysis matrices to web pages, presentations, and reports?▼

Export competitive analysis matrices to web pages, presentations, and reports using built-in tagging and multi-format export capabilities. Features are tagged for downstream outputs, generating reproducible dashboards and documents from the centralized SQLite data.

Does this competitive analysis approach work without external dependencies?▼

Competitive analysis works without external dependencies by using a self-contained SQLite database to store and query competitive data. The standalone matrix schema supports crawling, scoring, tagging, and exporting with no additional libraries required.

How do I ensure competitive assessments are traceable and reproducible?▼

Ensure competitive assessments are traceable and reproducible by enforcing documented sources and structured tagging within the SQLite matrix. Every feature score and categorization is linked to its data origin, supporting auditable queries and consistent exports.

When should I not use a SQLite matrix for competitive intelligence?▼

A SQLite matrix may not suit competitive intelligence when you need real-time multi-user collaboration or massive distributed datasets exceeding single-file database limits. For large-scale concurrent access, consider server-based database solutions instead of local SQLite storage.