gsd-spike

Run timeboxed technical spikes that produce and discard temporary artifacts.

Updated Apr 23, 2026

Search Tags:#feasibility #proof-of-concept #experimentation #spike #viability #disposable-artifacts

Ready to run

npx skills add https://github.com/giovannimnz/gsd-caveman-hermes --skill gsd-spike-giovannimnz

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gsd-spike
Source: https://github.com/giovannimnz/gsd-caveman-hermes/tree/main/skills/gsd-spike
Command: npx skills add https://github.com/giovannimnz/gsd-caveman-hermes --skill gsd-spike-giovannimnz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Este Skill oferece um experimento descartável para validar a viabilidade técnica de uma abordagem proposta, gerando artefatos temporários que são descartados após o spike.

Core Features & Use Cases

Definição de Spike Question para validação de hipótese técnica.
Design do experimento com critérios de sucesso e limites de tempo.
Execução do Spike e medição de resultados com wrap-up e limpeza.

Quick Start

Execute uma spike descartável para testar uma hipótese técnica e registrar aprendizados para a decisão.

Frequently Asked Questions about gsd-spike

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

FAQPage Schema

What is a disposable spike for validating technical feasibility?▼

A disposable spike is a short, timeboxed experiment that validates the technical viability of a proposed approach by producing temporary artifacts to test a hypothesis, which are then discarded after the spike concludes.

How do I run a proof-of-concept experiment to test a technical hypothesis?▼

Define a clear spike question, establish explicit success criteria, execute the experiment in a timeboxed environment, measure results, and perform a tidy wrap-up with cleanup to discard any temporary artifacts.

When should I use a timeboxed spike instead of building a full feature?▼

Use a timeboxed spike when you need to validate technical viability or check feasibility before committing to full implementation, allowing you to learn from disposable artifacts without the overhead of production-ready code.

What do I need to define before starting a feasibility spike?▼

Before starting a feasibility spike, you need a clearly defined spike question, explicit success criteria, an execution environment, and a tidy wrap-up and cleanup plan to ensure the disposable artifacts are properly discarded.

Does a viability spike require long-term maintenance of the generated artifacts?▼

No, a viability spike produces disposable artifacts that are discarded after the experiment concludes, meaning no long-term maintenance is required once the technical viability has been validated and learnings are recorded.

How does a disposable spike compare to a standard proof-of-concept?▼

A disposable spike focuses on short, timeboxed validation with explicit cleanup, whereas a standard proof-of-concept may evolve into production code; spikes emphasize learning and immediate discard of artifacts over reuse.