spike

Decompose software ideas into testable feasibility experiments and document verdicts.

3|Updated Apr 21, 2026
One-click install
npx skills add https://github.com/DarkArty07/Aether-Agents --skill spike-darkarty07
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spike
Source: https://github.com/DarkArty07/Aether-Agents/tree/main/home/skills/software-development/spike
Command: npx skills add https://github.com/DarkArty07/Aether-Agents --skill spike-darkarty07

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the risk of wasting time and resources building unproven software ideas by enabling low-cost, disposable experiments to validate feasibility, compare approaches, and uncover hidden unknowns before committing to full development.

Core Features & Use Cases

  • Structured Spike Decomposition: Breaks vague ideas into 2-5 independent, testable feasibility questions ordered by risk to prioritize high-impact validation first.
  • Comparison Spike Support: Runs side-by-side tests of competing tools or approaches (e.g., pdfjs vs camelot for PDF parsing) to deliver data-backed recommendations.
  • Formal Verdict Documentation: Captures test results in a standardized VALIDATED / PARTIAL / INVALIDATED format with clear guidance for subsequent production builds.
  • Use Case: If your team is unsure whether a new WebSocket library can support sub-100ms token streaming for your LLM chat interface, use this Skill to run a focused spike and get a definitive answer before investing in full implementation.

Quick Start

Use the spike skill to test whether the new PDF parsing library can extract structured tables from scanned documents faster than your current tool.

Frequently Asked Questions about spike

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

FAQPage Schema
How do I validate technical feasibility before committing to full software development?

To validate technical feasibility, run low-cost, disposable experiments to test unproven ideas before full software development. This approach decomposes vague concepts into independent, testable questions to uncover hidden implementation risks early.

What is a spike in software development and when should I use one?

A spike is a throwaway feasibility experiment used in software development when you need to compare competing approaches or identify hidden risks. Use it before full production builds to avoid wasting time and resources on unvalidated ideas.

How do I compare competing tools or libraries for a specific feature?

Compare competing tools by running side-by-side comparison spikes that deliver data-backed recommendations. This method tests alternatives, such as different PDF parsing libraries, against each other to provide a formal verdict on which performs best.

How do I document the results of a proof-of-concept experiment?

Document proof-of-concept results using formal verdict documentation that captures test outcomes in a standardized VALIDATED, PARTIAL, or INVALIDATED format. This provides clear, actionable build recommendations for subsequent production development.

Can I break down a vague software idea into testable feasibility questions?

Yes, you can break down vague ideas through structured spike decomposition. This process splits broad concepts into two to five independent, testable feasibility questions ordered by risk, allowing you to prioritize high-impact validation first.