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gsd-spike

Run focused experiments to validate ideas and reveal feasibility risks.

4|1|Updated Mar 22, 2026
Search Tags:#workflow automation#idea validation#feasibility#experimentation#product planning#spike#risk discovery
One-click install
npx skills add https://github.com/lgwanai/openforce --skill gsd-spike-lgwanai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gsd-spike
Source: https://github.com/lgwanai/openforce/tree/main/skills/gsd-spike
Command: npx skills add https://github.com/lgwanai/openforce --skill gsd-spike-lgwanai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It helps you turn uncertain ideas into verified knowledge by running small, focused experiments that reveal feasibility, risks, and the next best thing to build.

Core Features & Use Cases

  • Idea spike experiments: Run a practical “test in the real world” exploration of an idea to learn what works before committing to full implementation.
  • Frontier mode planning: Analyze the current spike landscape and propose how to integrate findings and what frontier spikes to run next.
  • Structured workflow integration: Spikes are organized under .planning/spikes/ and align with GSD commit patterns, state tracking, and handoff workflows.
  • Mode control via arguments/flags: Use --quick to skip extra decomposition when you already know what to spike, and --wrap-up to package results for future build conversations.

Quick Start

Run gsd-spike with an idea to validate, such as: gsd-spike "build a tool that turns repo architecture into a prioritized security checklist".

Frequently Asked Questions about gsd-spike

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

FAQPage Schema
How do I validate a product idea before committing to full implementation?▼

Frontier mode analyzes your current spike landscape to propose the next frontier spikes to run, helping you select the next best work by integrating previous findings into your product planning.

What's the best way to run a quick feasibility experiment for a new app capability?▼

The best way to run a quick feasibility experiment is using a fast execution mode that skips extra decomposition when you already know what to spike, allowing immediate practical exploration of your app capability.

How do I organize and track spike states within my workflow automation system?▼

You organize and track spike states by integrating them into a `.planning/spikes/` directory, aligning with Getting Things Done commit patterns, state tracking, and structured handoff workflows.

Can I package experiment results to hand off to future build conversations?▼

Yes, you can package experiment results by using a wrap-up mode that consolidates your spike findings, creating verified knowledge ready for handoff into subsequent development and build conversations.

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