startup-factory

Orchestrate 7 AI agents to automate startup lifecycle from research to operations.

Updated Feb 18, 2026
One-click install
npx skills add https://github.com/patrick-falvey/startup-factory --skill startup-factory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: startup-factory
Source: https://github.com/patrick-falvey/startup-factory/tree/main
Command: npx skills add https://github.com/patrick-falvey/startup-factory --skill startup-factory

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openclaw, clawrouter, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of building and operating a startup, from market research to launch and ongoing operations, using a coordinated constellation of AI agents.

Core Features & Use Cases

  • Market Research and Validation: Scout agent conducts market research, competitor analysis, and validates startup ideas.
  • Product Definition: PM agent creates a Product Requirements Document (PRD) and defines MVP scope.
  • Design and UI/UX: Design agent creates wireframes, mockups, and a landing page.
  • Engineering and MVP: Engineer agent builds the MVP with full-stack development, testing, and deployment.
  • Marketing and Launch: Marketing agent prepares marketing materials, social media content, and the launch plan.
  • Operations: Ops agent handles legal, finance, customer support, and analytics.
  • Ongoing Operations: All agents work together through cron-driven operations for competitive monitoring, content creation, support, and analytics.
  • Use Case: Start with an idea and use the skill to automate the entire process of building and running a software startup.

Quick Start

Initialize a new startup by running:

sf init "AI-powered pet nutrition recommendations"

Frequently Asked Questions about startup-factory

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

FAQPage Schema
How do I automate the full lifecycle of a startup with AI agents?

You can automate a startup's lifecycle by orchestrating 7 AI agents to handle market research, product definition, engineering, and operations. Initialize the process using a command like `sf init "Your startup idea"` to coordinate the full workflow.

How does multi-agent AI routing work for startup operations?

Multi-agent AI routing for startup operations works by coordinating 7 specialized agents across market research, engineering, marketing, and operations. It requires OpenClaw and ClawRouter to manage multi-agent routing and session states throughout the workflow.

Can I use OpenClaw and ClawRouter for full-stack startup development?

Yes, you can use OpenClaw and ClawRouter for full-stack startup development. They provide the required multi-agent routing and session management infrastructure to coordinate engineering, design, and operations agents throughout the MVP build.

What's the best way to automate market research and MVP development together?

The best way to automate market research and MVP development together is using a multi-agent AI constellation. A Scout agent validates ideas and conducts competitor analysis, while an Engineer agent builds the full-stack MVP based on the resulting Product Requirements Document.

Do I need cron-driven operations for ongoing startup monitoring?

Yes, you need cron-driven operations for ongoing startup monitoring. This configuration enables the AI agents to continuously perform competitive monitoring, content creation, customer support, and analytics after the initial launch phase.

What are the limitations of using AI agents for startup operations?

Limitations of using AI agents for startup operations include the strict dependency on OpenClaw and ClawRouter for multi-agent routing and session management. Without these frameworks, the 7-agent constellation cannot coordinate the full lifecycle workflow.