competitive-landscape

Maps competitors, substitutes, and dead projects for a crypto product idea into an HTML landscape matrix.

Updated Mar 12, 2026
One-click install
npx skills add https://github.com/RavitejaKarra24/dotfiles --skill competitive-landscape-ravitejakarra24
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: competitive-landscape
Source: https://github.com/RavitejaKarra24/dotfiles/tree/main/agents/.agents/skills/competitive-landscape
Command: npx skills add https://github.com/RavitejaKarra24/dotfiles --skill competitive-landscape-ravitejakarra24

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Founders and builders in the crypto space often launch products without knowing who already competes in their niche, which projects failed before them, or how crowded the market is. This Skill systematically maps the competitive landscape for a crypto product idea so you can identify gaps, threats, and differentiation angles before building. ## Core Features & Use Cases - Ecosystem Catalog Search: Searches solana-new catalogs of 106 repos, 77 skills, and 36 MCPs to detect existing tools in your target space. - Competitor & Substitute Matrix: Captures name, status, chain, traction, strengths, weaknesses, and threat level for each project, including dead projects and non-crypto substitutes. - Moat Analysis: Assesses defensibility across network effects, switching costs, data advantages, technical complexity, distribution, and brand. - Use Case: You are considering building an agent payments protocol on Solana. The skill searches ecosystem catalogs, DefiLlama, GitHub, and crypto Twitter, then produces an HTML landscape artifact rating crowdedness and recommending a differentiation angle. ## Quick Start Ask the assistant to map the competitive landscape for your crypto product idea, such as agent payments on Solana, and it will produce a full competitive matrix HTML report.

Frequently Asked Questions about competitive-landscape

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find competitors for my crypto product idea?

The skill searches solana-new ecosystem catalogs covering 106 repos, 77 skills, and 36 MCPs, then does fresh research on DefiLlama, GitHub, and crypto Twitter. It captures each competitor's status, traction, strengths, weaknesses, and threat level in a structured matrix.

What data sources does a crypto competitive analysis use?

It uses the solana-new catalogs for ecosystem tooling signals, DefiLlama for TVL and protocol data, GitHub for development activity, and Twitter/X for community sentiment. If local catalogs are missing, it falls back to live DefiLlama API data.

Does the analysis include failed or dead crypto projects?

Yes, including dead projects is a non-negotiable requirement. The skill investigates why each project failed, whether from technical issues, market timing, or team problems, because failures reveal landmines for your idea.

How is market crowdedness rated in the landscape report?

Crowdedness is rated on a five-level scale: empty, sparse, moderate, crowded, or saturated. Saturated means more than five direct competitors with a dominant winner, in which case the skill recommends finding an underserved niche or angle.

What output does the competitive landscape skill produce?

It produces a local HTML artifact containing the full competitive matrix organized by scope and target user. It also writes a landscape field to .superstack/idea-context.md with competitors, substitutes, dead projects, crowdedness, moat type, and differentiation for the next phase.