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spike

Run throwaway experiments to assess feature or technology feasibility.

1|Updated Jun 9, 2026
Search Tags:#system design#software development#feasibility#rapid prototyping#experimentation
One-click install
npx skills add https://github.com/aivos-xie/hermes-skills --skill spike-aivos-xie
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: spike
Source: https://github.com/aivos-xie/hermes-skills/tree/main/software-development/spike
Command: npx skills add https://github.com/aivos-xie/hermes-skills --skill spike-aivos-xie

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill allows users to rapidly test the feasibility of an idea by conducting throwaway experiments, ensuring that time and resources are not wasted on unviable concepts.

Core Features & Use Cases

  • Feasibility Testing: Break down an idea into small, manageable questions and validate each one.
  • Experimentation: Run quick experiments to compare different approaches or uncover unknowns.
  • Disposal: Once the learning is gained, the experiments can be discarded.

Quick Start

Use the spike skill to validate the feasibility of implementing a WebSocket streaming solution.

Frequently Asked Questions about spike

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

FAQPage Schema
How do I validate the feasibility of a new software feature before full implementation?▼

Feasibility validation is achieved by creating disposable spike experiments that break down an idea into manageable questions, allowing you to rapidly test viability and avoid wasting resources on unviable concepts.

What is the best way to compare different technologies for rapid prototyping?▼

Comparing technologies for rapid prototyping is done by running quick, throwaway experiments to assess different approaches side-by-side, uncovering unknowns, and discarding the tests once learning is extracted.

How do I test system design assumptions without committing to a specific architecture?▼

Testing system design assumptions involves executing simple scripts as throwaway experiments to validate specific architectural decisions, ensuring the chosen design path is practical before full development.

Can I use simple scripts to research unknowns in software development?▼

Simple scripts are fully supported to research unknowns in software development, enabling you to iterate on quick experiments that assess the feasibility of implementing new features or technologies.

When should I use throwaway experiments in my development workflow?▼

Throwaway experiments should be used when you need to rapidly assess the feasibility of an idea, validate system design choices, or compare new technologies before committing significant development time and resources.

Do I need any specific dependencies to run spike experiments for technology comparison?▼

No specific dependencies are required to run spike experiments; the process relies solely on your ability to execute and iterate on simple scripts to research and validate different technological approaches.

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