gsd-spike

Validate product or engineering ideas through structured spike experiments.

Updated May 21, 2026
One-click install
npx skills add https://github.com/jedmamosto/m-and-ms --skill gsd-spike-jedmamosto
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gsd-spike
Source: https://github.com/jedmamosto/m-and-ms/tree/main/.agents/skills/gsd-spike
Command: npx skills add https://github.com/jedmamosto/m-and-ms --skill gsd-spike-jedmamosto

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps teams reduce uncertainty by turning an idea into a measurable, hands-on experiment so you can validate feasibility before building.

Core Features & Use Cases

  • Experiential validation: converts an idea into a structured spike that builds understanding through exploration and concrete outputs.
  • Two operating modes (Idea vs Frontier): runs from a fresh idea by default or analyzes the existing spike landscape to recommend what to do next in frontier mode.
  • Build-ready handoff: captures verified findings into a repeatable workflow and can package results for future build conversations via wrap-up.

Quick Start

Run gsd-spike with your idea to validate, optionally adding the --quick flag for a faster build-focused experiment.

Frequently Asked Questions about gsd-spike

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

FAQPage Schema
How do I validate technical feasibility before committing to a full build?

A spike experiment validates feasibility by converting an idea into structured, hands-on exploration that produces verified knowledge for implementation planning. This method reduces uncertainty by testing assumptions before committing to a full build.

What is the best way to plan a spike for product ideation?

The best way to plan a spike is through experiential validation, which converts an idea into a structured experiment that builds understanding through exploration and generates concrete outputs for build-ready handoff.

How do I analyze existing spike experiments to decide what to build next?

Frontier mode analyzes the existing spike landscape to recommend what to do next. It evaluates prior experiments to guide future exploration and implementation planning.

Can I run a faster spike experiment focused only on building?

Yes, you can run a faster experiment by using the quick flag, which initiates a build-focused spike. This accelerates the validation process while still producing verified findings for handoff.

How does spike planning package results for future development workflows?

Spike planning packages results by capturing verified findings into a repeatable workflow and using wrap-up to prepare them for future build conversations. This ensures build-ready handoff for implementation.