Decompose ideas into feasibility questions and test them with disposable prototypes.
npx skills add https://github.com/srivtx/supercharger-opencode --skill spike-srivtx
Please help me install this Agent Skill. Skill: spike Source: https://github.com/srivtx/supercharger-opencode/tree/main/engineering/spike Command: npx skills add https://github.com/srivtx/supercharger-opencode --skill spike-srivtx
The spike skill helps validate ideas by creating disposable experiments, allowing users to test feasibility and compare approaches before committing to a full build.
To begin a spike, execute the command: spike new "Experiment Name" --description "Experiment Description".
High-intent search queries and answers about installing and using this skill.
You can validate feasibility by running disposable experiments to test approaches before committing to a full build. This process decomposes ideas into feasibility questions, researches potential solutions, and builds quick prototypes to provide a clear verdict on the results.
A throwaway experiment is a disposable prototype designed to test an idea's feasibility and compare approaches. It allows you to research solutions, validate potential integration risks, and provide verdicts on results before committing to full-scale implementation.
To start a feasibility experiment, execute the command `spike new "Experiment Name" --description "Experiment Description"`. This initiates the process of breaking down your idea into research questions and building quick prototypes.
Yes, the experimentation process explicitly identifies potential integration risks and data handoffs between different disposable prototypes. This ensures you understand feasibility constraints and dependencies before proceeding with full-scale implementation.
The best way to compare approaches is by building quick prototypes as disposable experiments. This method researches possible solutions, tests feasibility, and provides a clear verdict on the results, allowing you to validate approaches before full implementation.
You should not use throwaway experiments when you need production-ready code, as these are disposable prototypes designed only for idea validation. They are strictly for testing feasibility and providing verdicts before committing to a full-scale build.
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