Agent skill · Data & Analytics

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",

ferdinandobonsgithub.com/ferdinandobonsGitHub ↗
claude-codeMIT
Install
npx skills add ferdinandobons/startup-skill --skill startup-competitors --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 9
SKILL.md size: 16 KB
Bundled scripts: none
Path: startup-competitors/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 576

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 Default output language is **English**. If the user writes in another language or explicitly requests one, use that language for all outputs instead. --- ## Phase 0: Resume Check Before anything else, check if a `PROGRESS.md` created by this skill exists in the working directory or a project subdirectory (the skill name field says `startup-competitors`). If it does, read it and resume from the last incomplete phase. Tell the user: "I found progress from a previous session. You completed [phases]. Picking up from [next phase]." If no progress file exists — or the one found belongs to a different skill — start from Phase 1.

What's inside
Steps it walks through
  1. How It Works
  2. Language
  3. Phase 0: Resume Check
  4. Phase 1: Intake
  5. Check for Prior startup-design Work
  6. What to Ask (if no prior data exists)
  7. Output
  8. Phase 1.5: Research Depth Assessment
  9. Process
  10. Phase 2: Research
  11. Environment Detection
  12. Web Search
  13. Wave 1: Competitor Profiles + Pricing Intelligence
  14. Wave 2: Customer Sentiment Mining
Ships with 8 files
  • references/honesty-protocol.md
  • references/research-principles.md
  • references/research-scaling.md
  • references/research-synthesis.md
  • references/research-wave-1-profiles-pricing.md
  • references/research-wave-2-sentiment-mining.md
  • references/research-wave-3-gtm-signals.md
  • references/verification-agent.md
More from startup-skill
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About this skill
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 ferdinandobons/startup-skill --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 ferdinandobons/startup-skill, a repository with 576 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.

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