Individual skill
startup-competitors
Deep competitive intelligence for any market. Analyzes competitors' products, pricing, customer sentiment, GTM strategy, and growth signals using real web data. Produces battle cards, pricing landscape, and feature matrix. Use when the user wants to understand their competitive landscape, analyze competitors, compare products in a market, or research who they're competing against. Triggers for "who are my competitors", "competitive analysis", "competitor research", "battle cards", "pricing comparison", "competitor pricing", "market players", "competitive intelligence", "competitive landscape", "who else is in this space", "competitive moat", or any request to profile, compare, or map competitors in a category. Works standalone — no prior startup-design session needed.
startup-competitors/SKILL.md
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- Last checked
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- 1,269
- Repository last updated
- Jul 1, 2026
- License
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- ai-agents Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- competitive-analysis Repository topic
- competitive-intelligence Repository topic
- market-research Repository topic
- pricing-analysis Repository topic
- startup Repository topic
- startup-validation Repository topic
- battle-cards Repository topic
- design Derived category
- marketing Derived category
- data Derived category
- research Derived category
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SKILL.mdcore · 16,604 bytesSKILL.mdcore · 16,604 bytesSKILL.mdcore · 16,604 bytesSKILL.mdcore · 16,604 bytesreferences/honesty-protocol.mddoc · 4,949 bytesreferences/research-principles.mddoc · 2,860 bytesreferences/research-scaling.mddoc · 4,426 bytesreferences/research-synthesis.mddoc · 8,745 bytesreferences/research-wave-1-profiles-pricing.mddoc · 6,976 bytesreferences/research-wave-2-sentiment-mining.mddoc · 6,976 bytesreferences/research-wave-3-gtm-signals.mddoc · 7,327 bytesreferences/verification-agent.mddoc · 5,249 bytes
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# Startup Competitors
Deep competitive intelligence that goes beyond surface-level profiles. Produces actionable battle cards, pricing landscape analysis, and strategic vulnerability mapping using real web data.
## How It Works
```
INTAKE → RESEARCH (3 sequential waves) → SYNTHESIS → BATTLE CARDS
```
The process is focused: understand the product, research competitors deeply across 3 dimensions, synthesize findings, and produce actionable output. Typical runtime: 15-25 minutes in Claude Code (parallel agents), 30-45 minutes in Claude.ai (sequential).
### Language
