sage-competitive-analysis

Analyze competitive landscape and market positioning for Evolution Foundation.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/DavidsonGomes/claude_cowork_workspace --skill sage-competitive-analysis-davidsongomes
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sage-competitive-analysis
Source: https://github.com/DavidsonGomes/claude_cowork_workspace/tree/main/.claude/skills/sage-competitive-analysis
Command: npx skills add https://github.com/DavidsonGomes/claude_cowork_workspace --skill sage-competitive-analysis-davidsongomes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Este Skill identifica e compreende o panorama competitivo para aperfeiçoar o posicionamento da Evolution Foundation e orientar decisões estratégicas.

Core Features & Use Cases

  • Coleta de dados internos e externos (ex.: métricas GitHub, MRR, comunidade, preços e funcionalidades de concorrentes) para benchmarking.
  • Matriz de posicionamento que compara modelos de negócio, preços, recursos e diferenciais entre concorrentes.
  • Recomendações acionáveis para melhorar o ajuste de mercado e criar vantagens competitivas duráveis.

Quick Start

Analise o cenário atual no Evolution Foundation, gere a matriz de concorrência e aplique as recomendações para orientar a estratégia.

Frequently Asked Questions about sage-competitive-analysis

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

FAQPage Schema
What is competitive analysis and how does it improve market positioning?

A competitive analysis matrix benchmarks your internal signals like GitHub stars and MRR against external competitors. It compares business models, pricing, and features side-by-side to identify market gaps and durable competitive advantages for strategic planning.

How do I build a competitive analysis matrix for my open source project?

Gather internal metrics including GitHub stars, forks, and MRR alongside external competitor pricing and features. The system structures this data into a positioning matrix that compares business models and outputs a formatted markdown document with actionable recommendations.

Does competitive benchmarking require internal data collection before starting?

Yes, competitive benchmarking requires collecting internal signals like GitHub stars, MRR, and community size before evaluating external rivals. Combining these internal metrics with external market research produces an accurate positioning matrix for strategic decision-making.

What is the best way to map competitors and compare their pricing models?

The best way to map competitors is generating a positioning matrix that benchmarks business models, pricing, features, and weaknesses side-by-side. This approach evaluates internal community metrics against external market research to yield actionable strategic recommendations.

Can I output the competitive analysis report directly into a markdown file?

Yes, the competitive analysis process outputs a formatted markdown document ready for archival. It automatically structures the positioning matrix, competitor benchmarks, and strategic recommendations into a dated markdown file for direct repository storage.