spike

Create disposable prototypes to validate technical feasibility before full development.

Updated May 11, 2026
One-click install
npx skills add https://github.com/heximao/agents --skill spike-heximao
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spike
Source: https://github.com/heximao/agents/tree/main/skill-archive/docker-hermes/software-development/spike
Command: npx skills add https://github.com/heximao/agents --skill spike-heximao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of testing ideas before committing to full development, reducing time and resources spent on unproven concepts.

Core Features & Use Cases

  • Quick Prototyping: Rapidly create disposable prototypes to test feasibility and compare approaches.
  • Research and Build Loop: Guides users through a structured process of decomposition, research, building, and verification.
  • Multi-Skill Support: Integrates with other skills for extended functionality such as documentation and planning.
  • Use Case: When considering whether to develop a new feature, use the spike skill to test the core functionality quickly and determine if it's worth pursuing further.

Quick Start

Start a spike to test the feasibility of implementing a new chatbot feature.

Frequently Asked Questions about spike

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

FAQPage Schema
What is a spike in software development and when should I use it?

A spike is a disposable prototype used to validate ideas and test technical feasibility before committing to full development. Use a spike when you need to research unknowns, compare approaches, or determine if a new feature is worth pursuing.

How do I test the feasibility of a new software feature quickly?

To test feasibility quickly, create a disposable prototype through a structured research and build loop. This process involves decomposing the problem, researching solutions, building a minimal prototype, and verifying the results to validate your idea.

How do I compare different technical approaches for a new project?

You can compare technical approaches by creating disposable prototypes for each option. This allows you to rapidly test feasibility, evaluate unknowns, and determine the most viable path forward before committing extensive development resources.

Do I need prior software development experience to create disposable prototypes?

Yes, creating disposable prototypes requires a basic understanding of software development practices and tools. This foundational knowledge is necessary to effectively decompose problems, research solutions, and build functional experiments.

What is the best way to reduce time spent on unproven software concepts?

The best way to reduce time on unproven concepts is to use a structured prototyping process to validate ideas early. By testing core functionality in disposable experiments, you minimize resources spent on unviable features before full development.

When should I avoid using disposable prototypes for feasibility testing?

You should avoid disposable prototypes when full development is already justified or the concept carries no technical unknowns. Prototypes are specifically designed for researching unknowns and comparing approaches, not for building production-ready features.