startup-competitors

Solid

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.

Data & Documents 326 stars 51 forks Updated 6 days ago MIT

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Quality Score: 90/100

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Skill Content

# 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 parallel 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 Default output language is **English**. If the user writes in another language or explicitly requests one, use that language for all outputs instead. --- ## Phase 1: Intake Short and focused — 1-2 rounds of questions, not an extended interview. The goal is just enough context to run targeted research. ### Check for Prior startup-design Work Before asking questions, check if a `startup-design` session has already been completed for this project. Look for these files in the working directory or subdirectories: - `01-discovery/competitor-landscape.md` — competitor profiles and analysis - `01-discovery/market-analysis.md` — market size, trends, regulatory - `01-discovery/target-audience.md` — customer personas, pain points - `00-intake/brief.md` — product description and context If these files exist, read them and use the data as a head start: - Extract the product description, target market, and known competi...

Details

Author
ferdinandobons
Repository
ferdinandobons/startup-skill
Created
2 months ago
Last Updated
6 days ago
Language
N/A
License
MIT

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