Spike

by v1.0.0

The Spike skill empowers AI agents to rapidly test and validate new ideas, technical approaches, or feasibility questions. It's designed for quick, throwaway prototypes that provide concrete evidence and a clear verdict without the commitment of a full production build. This skill helps developers and teams mitigate risk by answering critical questions like "is this possible?" or "which approach is better?" before investing significant resources. It streamlines the initial exploration phase, ensuring that development efforts are focused on validated concepts.

The skill follows a structured loop: defining a clear question, researching credible approaches, building the smallest runnable artifact, testing edge cases, and finally delivering a comprehensive verdict. It prioritizes speed and clarity, producing focused prototypes that avoid unnecessary complexity, package sprawl, or production-grade cleanup. The output is a clear verdict with evidence and recommendations, guiding the next steps in your development process.

What It Does

The Spike skill defines a concrete feasibility question, researches credible approaches, and builds the smallest runnable artifact to validate or invalidate an idea. It includes stress testing, provides a clear verdict (VALIDATED, PARTIAL, INVALIDATED) with evidence, and offers recommendations for the next steps. It generates focused, runnable code artifacts.

When To Use

When testing a new idea or concept before committing to a full build.
To validate the feasibility of a technical approach ("is this possible?").
For comparing different solutions or libraries (A/B comparisons).
When needing a "quick prototype" or "proof of concept."
Before starting a major development effort to reduce risk.

Inputs

User prompts requesting a prototype or feasibility test, such as "spike this idea," "prototype X functionality," "compare A and B for Y," or a specific technical question to investigate.

Outputs

A structured markdown verdict including the question, evidence (commands/output), what worked, what failed, and a recommendation. It also produces a runnable prototype artifact (CLI, HTML, endpoint, or test) in a temporary or specified repo-local directory.

Limitations

Not suitable for questions answerable by simple documentation or code review.
Should not be used for generating production-ready code directly.
Avoids complex setups like Docker, extensive environments, or full application frameworks.
Spike code should not be merged into production without a proper rewrite.

Installation

Copy to ~/.claude/skills/

View Claude (Anthropic) documentation

Add to .cursor/skills/

View Cursor IDE documentation

Add to Windsurf skills

View Windsurf documentation

Add to Cline skills directory

View Cline documentation

Configure in .aider.conf.yml

View Aider documentation

Add to .vscode/skills/

View VS Code documentation

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