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spike

Validate idea feasibility through throwaway prototypes and risk-ordered experiments.

Updated May 14, 2026
Search Tags:#validation#feasibility#prototype#proof-of-concept#experiment#spike
One-click install
npx skills add https://github.com/SethyPagna/Secretary-Jarvis --skill spike-sethypagna
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: spike
Source: https://github.com/SethyPagna/Secretary-Jarvis/tree/main/src/capabilities/skills/software-development/spike
Command: npx skills add https://github.com/SethyPagna/Secretary-Jarvis --skill spike-sethypagna

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Use this Skill when you need to test whether an idea is worth building before you invest in a full implementation. It turns uncertainty into small, disposable experiments so you can confirm feasibility, compare approaches, and uncover hidden risks early.

Core Features & Use Cases

  • Breaks vague ideas into 2-5 focused feasibility questions.
  • Guides research, prototype building, and evidence-based verdicts.
  • Supports comparison spikes for competing approaches and frontier mode for choosing the next risk to test.
  • Useful for validating integrations, parsing strategies, streaming behavior, or other high-uncertainty technical choices.

Quick Start

Ask the Spike skill to break your idea into risk-ordered feasibility questions, research the best approach, build a throwaway prototype, and return a verdict.

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 an idea before committing to a full build?▼

To validate feasibility before a full build, use a decompose-research-build-verdict workflow to create throwaway prototypes that uncover hidden risks and confirm whether an idea is worth implementing.

What is a spike in software engineering and when do I need it?▼

A spike is a time-boxed experiment used to test technical feasibility and reduce uncertainty. You need it when evaluating high-uncertainty features, integrations, or implementation approaches before full development.

How do I compare competing technical approaches for an integration?▼

Comparing competing approaches involves running comparison spikes to build disposable prototypes for each option, allowing you to evaluate parsing strategies or integration behaviors and return an evidence-based verdict.

Can I test streaming behavior with a throwaway prototype?▼

Yes, you can test streaming behavior using throwaway prototypes designed to validate specific technical choices. This process isolates uncertain integrations and returns explicit validation outcomes without requiring a full build.

What is the best way to break down a vague feature idea for testing?▼

The best way to break down a vague idea is to decompose it into two to five focused, risk-ordered feasibility questions, prioritizing the highest uncertainty areas for prototype testing first.

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