spike

Conduct time-boxed technical research and feasibility analysis for architectural unknowns.

2|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/alex-voloshin-dev/ai-skills --skill spike-alex-voloshin-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spike
Source: https://github.com/alex-voloshin-dev/ai-skills/tree/main/plugin/skills/spike
Command: npx skills add https://github.com/alex-voloshin-dev/ai-skills --skill spike-alex-voloshin-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill eliminates the ambiguity of technical research by providing a structured, time-boxed framework for evaluating new technologies or architectural approaches, preventing endless exploration without a clear decision.

Core Features & Use Cases

  • Structured Research: Enforces a go/no-go recommendation based on evidence-backed findings.
  • Proof-of-Concept: Optionally generates minimal code prototypes to validate feasibility.
  • Decision Frameworks: Integrates Cynefin, One-Way/Two-Way Doors, and ICE/RICE scoring to ensure recommendations are auditable and context-aware.

Quick Start

Invoke the spike skill with your research question and a time limit to begin a guided exploration of the topic.

Frequently Asked Questions about spike

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

FAQPage Schema
What is time-boxed technical research for architectural feasibility?

Time-boxed technical research evaluates architectural unknowns within strict deadlines to produce evidence-backed findings. It applies proof-of-concept development and citation-backed evidence to deliver a go/no-go recommendation, preventing endless exploration without clear decisions.

How do I evaluate technical feasibility and make a go/no-go decision on a new architecture?

Evaluate technical feasibility by applying structured decision frameworks like Cynefin, One-Way/Two-Way Doors, and ICE/RICE scoring to architectural unknowns. This process integrates risk-aware decision frameworks with minimal proof-of-concept prototypes to yield an auditable go/no-go recommendation.

Can I generate a proof-of-concept prototype during architectural exploration?

Yes, you can generate minimal code prototypes during architectural exploration to validate technical feasibility. These proof-of-concept implementations provide citation-backed evidence that directly supports structured reporting and evidence-based decision making for your project.

What is the best way to structure technical research for a new technology?

The best way to structure technical research is to enforce strict time limits and use structured reporting. Integrating decision frameworks like Cynefin, One-Way/Two-Way Doors, and ICE/RICE scoring ensures your feasibility analysis, citation-backed evidence, and risk assessments remain auditable and context-aware.

When should I not use time-boxed exploration for technical unknowns?

You should avoid time-boxed exploration for technical unknowns when a project requires exhaustive, long-term implementation rather than rapid feasibility analysis. This approach targets quick, evidence-backed go/no-go recommendations and minimal proof-of-concept validation, not exhaustive development cycles.