spike

Decompose ideas into feasibility questions and validate them with lightweight experiments.

13|3|Updated May 12, 2026
One-click install
npx skills add https://github.com/kevinnft/ai-agent-skills --skill spike-kevinnft
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spike
Source: https://github.com/kevinnft/ai-agent-skills/tree/main/skills/software-development/spike
Command: npx skills add https://github.com/kevinnft/ai-agent-skills --skill spike-kevinnft

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Decomposes a user idea into 2-5 feasibility questions and guides lightweight experiments to validate viability before committing to a build.

Core Features & Use Cases

  • Lightweight spike workflow that partitions ideas into focused questions
  • Disposable experiments to surface uncertainty and inform decision-making
  • Use Case: early-stage ideation, tech feasibility checks, and approach comparisons to decide whether to prototype

Quick Start

Ask me to spike an idea you are considering, and I will decompose it into 2-5 feasibility questions and outline a minimal experimental plan.

Frequently Asked Questions about spike

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

FAQPage Schema
How do I validate an early-stage product idea before committing development resources?

To validate an idea, decompose it into 2-5 focused feasibility questions and run lightweight experiments. This spike workflow tests viability using disposable artifacts before you commit resources to a full build.

What is a spike in software engineering decision-making?

A spike is a fast, throwaway experiment used in software engineering decision-making to validate ideas. It partitions a concept into focused questions and outlines minimal experimental plans to check viability.

How do I check technical feasibility for rapid prototyping approaches?

Check technical feasibility by comparing approaches through lightweight experiments. The process guides you to isolate technical uncertainty into targeted questions and validate them with standalone, disposable artifacts.

When should I use a spike workflow for idea validation?

Use a spike workflow for idea validation during early-stage ideation, technical feasibility checks, or approach comparisons. It applies when you need quick viability checks before deciding whether to prototype.

Do I need any specific frameworks or dependencies to run a spike experiment?

No specific frameworks or dependencies are required to run a spike experiment. The workflow relies on structuring standalone artifacts to keep experiments lightweight and disposable, requiring only your idea input.