gsd-spike

Explore and validate technical concepts through focused prototyping and frontier analysis.

1|Updated Apr 4, 2026
One-click install
npx skills add https://github.com/nnexai/git-stacks --skill gsd-spike-nnexai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gsd-spike
Source: https://github.com/nnexai/git-stacks/tree/main/.codex/skills/gsd-spike
Command: npx skills add https://github.com/nnexai/git-stacks --skill gsd-spike-nnexai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the problem of uncertainty in software development by providing a structured, experiential way to explore and validate technical ideas before committing to a full-scale implementation.

Core Features & Use Cases

  • Experiential Exploration: Build focused experiments to test feasibility and feel the architecture of a future feature.
  • Frontier Analysis: Automatically analyze the existing spike landscape to propose high-value integration or frontier spikes.
  • Workflow Integration: Seamlessly package findings into persistent project skills and state-tracking artifacts for future development.

Quick Start

Invoke the gsd-spike skill to begin exploring the feasibility of a new real-time collaboration feature for the current project.

Frequently Asked Questions about gsd-spike

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

FAQPage Schema
How do I prototype and validate technical feasibility before a full-scale build?

This skill facilitates experiential exploration through focused prototyping to validate technical concepts and generate verified knowledge for production builds. It assesses feasibility by letting you build experiments to feel the architecture of a future feature.

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

A spike is a focused experiment used to explore and validate technical concepts when facing uncertainty in software development. You need it to assess feasibility and generate verified knowledge before committing to full-scale implementation.

How do I integrate spike findings into my development workflow?

Spike findings are packaged into persistent project skills and state-tracking artifacts using GSD commit patterns and workflow handoff protocols. This integration ensures your prototyping results are actionable for future development cycles.

Can I use this to analyze existing spike landscapes and propose new experiments?

Yes, frontier analysis automatically evaluates the existing spike landscape to propose high-value integration or frontier spikes. This helps identify the most valuable technical concepts to explore next within your project.

What's the best way to test the feasibility of a new feature?

The best way is to build a focused prototype that lets you experience the architecture and assess technical feasibility directly. This experiential approach generates verified knowledge to guide your production build decisions.

Are there limitations to using prototyping for software development validation?

Prototyping validates concepts but does not replace full-scale implementation; it generates knowledge for production builds rather than production code itself. Findings must be packaged into state-tracking artifacts to ensure they remain actionable.