spike

Decompose ideas into 2-5 spike experiments with Given/When/Then framing.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/nadicodeai/argo-agent --skill spike-nadicodeai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spike
Source: https://github.com/nadicodeai/argo-agent/tree/main/skills/software-development/spike
Command: npx skills add https://github.com/nadicodeai/argo-agent --skill spike-nadicodeai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Breaks down ideas into small, disposable exploration tasks to quickly assess feasibility without committing to a full build.

Core Features & Use Cases

  • Decompose ideas into 2-5 independent spikes with Given/When/Then framing.
  • Align & research steps to compare approaches and surface risks before coding.
  • Verdict captures outcomes and recommendations to guide real work or pivot.

Quick Start

Provide a concise spike plan by decomposing the idea into 2-5 questions, outline research approaches, implement minimal evidence, and capture a verdict.

Frequently Asked Questions about spike

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

FAQPage Schema
What is a spike experiment in software engineering?

A spike experiment is a throwaway prototype used to validate feasibility quickly. It decomposes ideas into small, disposable tasks to assess technical viability before committing resources to a full build.

How do I test technical feasibility before committing to a full build?

To test feasibility, run lightweight spike experiments that decompose ideas into 2-5 independent questions. Apply Given/When/Then framing to research approaches, build minimal evidence, and capture a final verdict.

How do I structure a spike experiment workflow for product planning?

Structure your spike workflow by following five steps: decompose, align, research, build, and verdict. This guides teams from initial ideation through approach comparison to a final decision recommendation.

Can I use spike experiments to reduce risk in early product development?

Yes, spike experiments reduce risk during early research by surfacing unknowns and comparing approaches before coding. They provide structured verdicts to inform product decisions and guide real engineering work.

What is the best way to validate ideas without writing production code?

The best way to validate ideas is through throwaway experimentation. Break ideas into independent spikes with Given/When/Then framing, implement minimal evidence, and capture outcomes to guide your decision to build or pivot.

When should I avoid using spike experiments for prototyping?

Avoid spike experiments when you need production-ready features rather than feasibility insights. Spikes are disposable explorations designed to answer specific questions and capture a verdict, not to deliver deployable software components.