gsd-spike

Validate product or engineering ideas through structured spike experiments.

Updated May 21, 2026

Search Tags:#ideation #workflow automation #feasibility #handoff #experimentation #spike planning #frontend mode

Ready to run

npx skills add https://github.com/jedmamosto/m-and-ms --skill gsd-spike-jedmamosto

💬 Prompt for ChatGPT / Claude Chat▼

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.