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",
npx skills add majiayu000/claude-skill-registry --skill startup-competitors --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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` — mark
- How It Works
- Language
- Phase 1: Intake
- Check for Prior startup-design Work
- What to Ask (if no prior data exists)
- Output
- Phase 1.5: Research Depth Assessment
- Process
- Phase 2: Research
- Environment Detection
- Web Search
- Wave 1: Competitor Profiles + Pricing Intelligence
- Wave 2: Customer Sentiment Mining
- Wave 3: GTM & Strategic Signals
What does the startup-competitors skill do?
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",
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill startup-competitors --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.