startup

Create a prioritized experiment plan with core hypothesis, minimal feature set, and success metrics.

15|2|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/jdonohoo/vern-bot --skill startup-jdonohoo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: startup
Source: https://github.com/jdonohoo/vern-bot/tree/main/skills/startup
Command: npx skills add https://github.com/jdonohoo/vern-bot --skill startup-jdonohoo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps founders and product teams quickly identify and ship the smallest viable experiment to validate a product hypothesis, reducing wasted development time and costly feature bloat.

Core Features & Use Cases

  • Rapid hypothesis distillation: Turn a vague idea into a clear, testable hypothesis and target metric.
  • Ruthless scope cutting: Identify the minimal feature set required to learn, favor buy/integrate over build, and remove non-essential work.
  • Ship-and-learn workflow: Provide a concise experiment plan with what to build, how to measure success, and how to iterate or pivot.
  • Use Case: For a new subscription meal-planning app, the Skill picks the single feature to validate willingness to pay, defines the success metric, and outlines a one-week ship plan.

Quick Start

Ask Startup Vern to find the MVP for a product idea by describing the core hypothesis, the smallest testable feature, the success metric, and a one-week ship plan.

Frequently Asked Questions about startup

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

FAQPage Schema
How do I identify the smallest testable MVP for my product hypothesis?

To identify the smallest testable MVP, distill your product hypothesis into a minimal feature set and success metric, favoring buying or integrating over building to reduce wasted development time and feature bloat.

What is the best way to define a ship-and-learn workflow for rapid experiment design?

A ship-and-learn workflow for rapid experiment design requires a concise plan detailing what minimal feature to build, how to measure success metrics, and how to iterate or pivot based on the validated product hypothesis.

How do I apply ruthless scope cutting to prioritize features for a lean startup?

Ruthless scope cutting for a lean startup involves removing non-essential work and identifying the absolute minimal feature set required to learn from a target metric, favoring buy or integrate solutions over custom builds.

Can I use this approach for early-stage product discovery and feature prioritization?

Yes, you can use this approach for early-stage product discovery and feature prioritization to turn vague ideas into clear, testable hypotheses and produce a prioritized experiment plan with a fast ship schedule.

What is rapid hypothesis distillation and how does it work for product teams?

Rapid hypothesis distillation is the process of turning a vague product idea into a clear, testable hypothesis with a defined target metric, enabling product teams to quickly validate willingness to pay or user behavior.