competitive-analyzer

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Competitive landscape analysis: Porter's Five Forces, competitor discovery, feature/pricing matrices, positioning maps, moat assessment via WebSearch. Triggers on: "competitive analysis", "competitor comparison", "competitive landscape", "Porter's Five Forces", "market positioning", "moat assessment", "defensibility analysis".

AI & Automation 313 stars 46 forks Updated 4 days ago MIT

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Skill Content

# Competitive Analyzer Systematic competitive landscape analysis: discovery, force analysis, feature comparison, pricing, positioning, and defensibility assessment. ## When to use this skill vs. others | Need | Skill | | --------------------------------------------------- | ------------------------------------- | | Analyze competitors, compare features, assess moats | **competitive-analyzer** (this skill) | | Market sizing, TAM/SAM/SOM, demand signals | market-analyzer | | General web research and data gathering | tavily / web-fetch | ## Workflow ### Phase 1: Competitor Discovery Identify competitors across three tiers using WebSearch. **Tier classification:** - **Direct competitors** — Same solution to the same customer segment. Search: `"[product category] alternatives"`, `"[product] vs"`, `"best [category] tools 2024"` - **Indirect competitors** — Different solution to the same underlying problem. Search: `"how to [solve problem] without [category]"`, adjacent category leaders - **Potential competitors** — Adjacent players with capability and incentive to enter. Search: recent funding rounds, platform expansion announcements, acqui-hires **Discovery sources:** - Product Hunt: `site:producthunt.com [category]` - G2: `site:g2.com [category] reviews` - Capterra: `site:capterra.com [category]` - Crunchbase: `site:crunchbase.com ...

Details

Author
Mathews-Tom
Repository
Mathews-Tom/armory
Created
5 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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