# Startup Competitors

Deep competitive intelligence for any market.

- Repository: https://github.com/ferdinandobons/startup-skill (1247 stars)
- Category: Design
- License: MIT
- Last updated: 2026-07-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add ferdinandobons/startup-skill --skill startup-competitors -g -a claude-code -y`
Codex: `npx skills add ferdinandobons/startup-skill --skill startup-competitors -g -a codex -y`
Cursor: `npx skills add ferdinandobons/startup-skill --skill startup-competitors -g -a cursor -y`
Gemini CLI: `npx skills add ferdinandobons/startup-skill --skill startup-competitors -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add ferdinandobons/startup-skill`

## Description

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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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.

---

## 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

The rest: https://github.com/ferdinandobons/startup-skill/blob/HEAD/startup-competitors/SKILL.md