spike

Validate idea feasibility through disposable experiments with markdown documentation.

1|Updated May 21, 2026
One-click install
npx skills add https://github.com/blueskies1818/hermesALIone --skill spike-blueskies1818
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spike
Source: https://github.com/blueskies1818/hermesALIone/tree/main/Agent/skills/software-development/spike
Command: npx skills add https://github.com/blueskies1818/hermesALIone --skill spike-blueskies1818

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of validating ideas through quick, disposable experiments before committing to full implementation.

Core Features & Use Cases

  • Decompose and Validate: Break down ideas into feasibility questions and validate them through iterative development.
  • Multi-Platform Compatibility: Supports Linux, macOS, and Windows, making it accessible across different environments.
  • Quick Prototyping: Create disposable prototypes to quickly test different approaches to a problem.

Quick Start

To start a new spike, use the command: `spike new "Experiment name" -d "Description" -r "Research needed" -a "Approach" -b "Build instructions" -v "Verdict" -c "Comparison" -p "Priority" -f "Frontier mode"

Frequently Asked Questions about spike

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

FAQPage Schema
How do I test the feasibility of an idea through disposable experiments?

You can test feasibility of an idea by creating a disposable spike that breaks down concepts into specific research questions, running scripts to validate approaches, and documenting the verdict in markdown before committing to full implementation.

What is the best way to quickly prototype an approach to validate a research question?

Quickly prototyping an approach involves decomposing your idea into feasibility questions and iteratively developing disposable scripts to test them, ensuring you validate concepts rapidly before full-scale development.

Does this approach to quick prototyping work across Linux, macOS, and Windows?

Yes, this method of quick prototyping supports Linux, macOS, and Windows environments, allowing you to execute disposable experiments and validate feasibility across different platforms without compatibility barriers.

How do I start a new spike to validate a software development idea?

To start a new spike, use the command line interface to define your experiment name, description, research needed, approach, build instructions, verdict, comparison, priority, and frontier mode parameters to structure your validation.

When should I use disposable experiments instead of full implementation?

You should use disposable experiments when you need to validate feasibility or compare different approaches before committing resources, specifically targeting software development and research scenarios where quick prototyping reduces risk.