spike

Validate idea feasibility through a structured spike workflow.

Updated May 23, 2026
One-click install
npx skills add https://github.com/zengbaocheng/hermes-tech-hub --skill spike-zengbaocheng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spike
Source: https://github.com/zengbaocheng/hermes-tech-hub/tree/main/software-development/spike
Command: npx skills add https://github.com/zengbaocheng/hermes-tech-hub --skill spike-zengbaocheng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps teams validate ideas before committing to a full build.

Core Features & Use Cases

  • Structured spike workflow: decompose, align, research, build, verdict.
  • Lightweight throwaway artifacts to test feasibility without production risk.
  • Clear learnings and decisions to guide next steps and production planning.
  • Works for feasibility, market validation, tech feasibility, approach comparison.

Quick Start

Create a new spike directory under spikes to validate an idea and document the findings.

Frequently Asked Questions about spike

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

FAQPage Schema
How do I validate an idea is feasible before committing to a full build?

You can validate an idea by applying a structured spike workflow that decomposes, aligns, researches, builds, and verdicts the concept. This ensures throwaway artifacts test feasibility without production risk.

What is a spike workflow in software engineering?

A spike workflow is a structured process to identify and validate whether an idea is feasible. It involves decomposing the idea, aligning the team, researching options, building a prototype, and delivering a verdict to guide production planning.

How do I run a technical feasibility spike for idea validation?

Run a technical feasibility spike by creating a dedicated spike directory to document findings. Follow the workflow to research approaches, build throwaway prototypes, and record clear learnings that guide your next steps and real product plan.

When should I use a spike to test a product approach?

Use a spike to test a product approach when you need to compare approaches or validate market and tech feasibility without incurring production risk. It generates clear decisions and learnings that guide next steps before committing to development.

Does idea validation require building production-ready artifacts?

Idea validation through a spike explicitly requires throwaway artifacts rather than production-ready builds. These lightweight artifacts allow you to test feasibility safely and ensure learnings guide the real product plan without deployment risk.