stellar-competitive-landscape

Rank Stellar projects by SCF funding and developer activity from LumenLoop and Electric Capital.

3|Updated Jun 23, 2026
One-click install
npx skills add https://github.com/WritzProtocol/writz --skill stellar-competitive-landscape-writzprotocol
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stellar-competitive-landscape
Source: https://github.com/WritzProtocol/writz/tree/main/.agents/skills/stellar-competitive-landscape
Command: npx skills add https://github.com/WritzProtocol/writz --skill stellar-competitive-landscape-writzprotocol

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you map the competitive landscape for a Stellar project idea by analyzing existing projects and their SCF funding history, and developer activity.

Core Features & Use Cases

  • Project Context: Ask about the user's project idea and specific category for comparison.
  • Ecosystem Database Search: Queries the LumenLoop ecosystem database for relevant projects.
  • Electric Capital Mining: Explores a broader GitHub dataset for emerging players and dormant competitors.
  • Developer Activity Enrichment: Provides information on recent commits and contributor count.
  • Competitive Map Building: Outputs a sorted table of competitors by SCF funding and developer activity.
  • Differentiation Guidance: Offers advice on how to differentiate from the top competitors.

Quick Start

Ask the user for their project idea and preferred category, then use the 'stellar-competitive-landscape' skill to generate a competitive analysis.

Frequently Asked Questions about stellar-competitive-landscape

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

FAQPage Schema
How do I find competitors for a Stellar project idea?

To find competitors for a Stellar project, you query the LumenLoop ecosystem database and Electric Capital's GitHub dataset. This process identifies existing projects, evaluates their SCF funding history and developer activity, and outputs a sorted competitive map.

What is a competitive landscape analysis for Stellar?

A Stellar competitive landscape analysis maps existing projects by their SCF funding history and developer activity. It uses LumenLoop and Electric Capital data to identify emerging players and dormant competitors, helping you understand the ecosystem.

How do I rank Stellar projects by developer activity and funding?

You rank Stellar projects by extracting their SCF funding history and developer activity from LumenLoop and Electric Capital datasets. The tool outputs a sorted table of competitors based on these metrics, along with differentiation guidance for your idea.

Can I use GitHub data to identify dormant competitors in the Stellar ecosystem?

Yes, you can use the Electric Capital GitHub dataset to identify dormant competitors in the Stellar ecosystem. The tool mines this broader dataset to find emerging players and gauge recent commits and contributor counts for existing projects.

Do I need a specific project category to analyze the Stellar competitive landscape?

You need to provide your project idea and a preferred category to generate a competitive analysis. This context allows the tool to query the LumenLoop ecosystem database effectively and tailor the differentiation guidance for your specific Stellar project.

How does SCF funding history help differentiate a new Stellar project?

SCF funding history helps differentiate a new Stellar project by showing where existing competitors have received financial support. By comparing this with developer activity data, the tool offers advice on how to position and differentiate your new project idea.