Summary

This project provides AI-powered skills for comprehensive startup validation, competitive intelligence, and strategic planning. It aims to deliver the output of a $10K strategy consultant, including market research, competitor analysis, positioning frameworks, financial projections, and actionable plans, helping founders make informed go/no-go decisions.

How It Works

The system offers four distinct skills (startup-design, startup-competitors, startup-positioning, startup-pitch) that can be invoked directly or automatically by compatible AI agents. These skills leverage AI to process diverse data sources—web data, reviews, forums—to generate structured strategic documents, competitive battle cards, positioning frameworks based on established methodologies (e.g., April Dunford's), and investor-ready pitch materials.

Quick Start & Requirements

Installation is streamlined via AI assistant plugin marketplaces (e.g., claude plugin marketplace add ferdinandobons/startup-skill) or direct downloads for web apps. Alternative methods include CLI (npx skills add) and Git submodules. Key requirements include a compatible AI agent (Claude Code recommended) and potentially advanced models like Claude Max 5x due to significant token consumption. Official releases are available on GitHub.

Highlighted Details

• End-to-End Strategy: startup-design offers 8 phases and 30+ deliverables covering market research to validation experiments.
• Deep Competitive Analysis: startup-competitors generates detailed battle cards, pricing comparisons, and strategic reports from real-world data.
• Framework-Based Positioning: startup-positioning applies April Dunford's methodology for market category analysis and messaging.
• Investor Pitch Suite: startup-pitch produces multiple pitch formats, scoring rubrics, and Q&A preparation.

Maintenance & Community

Contributions are welcomed via pull requests or issues on GitHub. Specific community channels or core maintainer details are not detailed in the README.

Licensing & Compatibility

The project is released under the permissive MIT license, allowing for broad compatibility with commercial and closed-source applications. It is designed to integrate with AI agents that support the skills framework.

Limitations & Caveats

High token consumption is a primary consideration, necessitating the use of advanced AI models (e.g., Claude Max 5x) for full functionality. Users may need to manage AI session continuity if token limits are reached. The effectiveness is contingent on the underlying AI's interpretation and data access capabilities.