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AI Engineering

Startup Competitors

by ferdinandobons

Startup Competitors is an AI Engineering skill for Claude Code, published by ferdinandobons in startup-skill.

836 stars125 forkson ferdinandobons/startup-skillAdded 2026/08/22+11% in starsRepository updated 2026/07/01
ai-agentsbattle-cardsclaude-codeclaude-skillscompetitive-analysiscompetitive-intelligencemarket-researchpricing-analysisstartupstartup-validation
Install in seconds
Install Startup Competitors
Copy Startup Competitors into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/ferdinandobons/startup-skill/tree/main/startup-competitors ~/.claude/skills/startup-competitors

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/ferdinandobons/startup-skill.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
startup-competitors/SKILL.md in ferdinandobons/startup-skill
Installs to
~/.claude/skills/startup-competitors
Collection
One of 4 skills cataloged from this repository
Category
AI Engineering2451 skills

What Startup Competitors does

Startup Competitors analyzes rivals, pricing, sentiment, and go-to-market signals using web data. Use it to map a market, compare products, and build battle cards or feature matrices.

Startup Competitors is cataloged under AI Engineering on DirSkills. Startup Competitors comes from a repository tagged ai-agents, battle-cards, claude-code, claude-skills and competitive-analysis.

Documentation

README

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.


This is the opening of the README. Read the full README on GitHub.

Frequently asked about Startup Competitors

  • What else does ferdinandobons publish alongside Startup Competitors?

    Startup Competitors is one of 4 skills that DirSkills catalogs from ferdinandobons/startup-skill, the repository it ships in. Its siblings there include Startup Design, Startup Pitch and Startup Positioning. Each one is a separate skill with its own page in this directory, installs the same way Startup Competitors does, and is maintained by ferdinandobons in that same repository. The rest of the collection is listed on the ferdinandobons/startup-skill page.

  • How does Startup Competitors compare to other AI Engineering skills?

    Startup Competitors ranks #1564 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Startup Competitors against them. Open each page to compare what they document and how they install.