competitive-landscape

Map competitors, substitutes, and moats for a crypto product idea into an HTML matrix.

1|Updated May 10, 2026
One-click install
npx skills add https://github.com/goheesheng/base-new --skill competitive-landscape-goheesheng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: competitive-landscape
Source: https://github.com/goheesheng/base-new/tree/main/skills/idea/competitive-landscape
Command: npx skills add https://github.com/goheesheng/base-new --skill competitive-landscape-goheesheng

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Founders and builders often start a crypto product without knowing who already occupies the space, which projects failed before, or whether the market is saturated. This Skill systematically maps the competitive landscape so you can find an open angle before committing to an idea. ## Core Features & Use Cases - Ecosystem Catalog Search: Queries solana-new catalogs of repos, skills, and MCPs to detect existing tools in your target space, with DefiLlama and GitHub fallbacks when catalogs are missing. - Competitive Matrix: Captures each competitor's status, chain, traction, strengths, weaknesses, and threat level, then plots them on a scope-vs-user matrix with a crowdedness rating from empty to saturated. - Moat Analysis: Assesses defensibility across six moat categories (network effects, switching costs, data advantages, technical complexity, distribution, brand) and recommends a differentiation angle. - Use Case: Before building a Solana agent payments product, run this Skill to discover direct competitors, dead projects and why they failed, non-crypto substitutes, and receive an HTML landscape artifact plus a structured handoff to the next idea-phase skill. ## Quick Start Ask the assistant to map the competitive landscape for your crypto product idea, for example by saying who are my competitors for agent payments on Solana.

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?

Run this Skill with your idea or domain and it searches ecosystem catalogs of repos, skills, and MCPs, then supplements with DefiLlama, GitHub, and crypto Twitter research. It produces a competitive matrix with each project's status, strengths, weaknesses, and threat level.

How to analyze market saturation for a Solana project?

The Skill rates crowdedness on a five-level scale from empty to saturated based on the number of direct competitors and their traction. If the space is saturated with more than five competitors, it recommends looking for an underserved niche or angle.

What data sources does competitive landscape research use?

It searches local solana-new catalogs covering repos, skills, and MCPs first, then falls back to live sources: DefiLlama for protocol TVL data, GitHub for development activity, and Twitter/X for community sentiment. It also checks hackathon submissions and dead project post-mortems.

What happens if the ecosystem catalogs are not installed?

The Skill falls back to live data sources. It queries the DefiLlama API for protocols by category and TVL, checks npm for protocol SDK packages, and verifies protocol health so recommendations are not based on dead projects.

Does the analysis include failed or dead crypto projects?

Yes, including dead projects is a non-negotiable requirement. The Skill records why each project failed, whether from technical issues, market timing, or team problems, because failures reveal landmines and do not necessarily invalidate the idea.

What is a moat analysis for a crypto product?

Moat analysis evaluates defensibility across six categories: network effects, switching costs, data advantages, technical complexity, distribution lock-in, and brand trust. The Skill identifies which moat is most realistic for your idea, how long it takes to build, and its biggest threat.