Run disposable technical experiments to validate feasibility and compare implementation approaches.
npx skills add https://github.com/zangjeicy/Hermes --skill spike-zangjeicy
Please help me install this Agent Skill. Skill: spike Source: https://github.com/zangjeicy/Hermes/tree/main/skills/software-development/spike Command: npx skills add https://github.com/zangjeicy/Hermes --skill spike-zangjeicy
This skill solves the uncertainty of building new features by allowing you to test feasibility and compare technical approaches through isolated, throwaway experiments before committing to a full production build.
Use the spike skill to investigate the feasibility of integrating a new websocket library for our real-time chat feature.
High-intent search queries and answers about installing and using this skill.
A spike is a rapid, disposable technical experiment used to validate feasibility and compare implementation approaches. You need it during early-stage research, architectural decision-making, or proof-of-concept development to address high-risk technical unknowns before committing to a full production build.
You validate feasibility by running isolated, throwaway experiments that test specific technical approaches against your requirements. This involves decomposing your idea into testable questions, conducting iterative research, and generating a structured verdict report on whether the library works.
The best way to compare technical approaches for an MVP is to run parallel, disposable experiments. This allows you to test multiple libraries or architectural paths side-by-side and generate a structured verdict identifying the best tool for the job.
Yes, rapid prototyping mitigates architectural risks by identifying and addressing high-risk technical unknowns early. Conducting throwaway proof-of-concept experiments prevents wasted effort on unviable implementation paths before you start the full build.
No specific frameworks or dependencies are required to run throwaway experiments. The process relies on systematically decomposing ideas into testable questions, conducting iterative research, and reporting structured verdicts rather than depending on external components.
EntroVyxRun disposable experiments to validate technical feasibility and compare implementation approaches.
JamesFincherDecompose proposals into feasibility questions and run disposable implementation spikes.
quickcall-devCreate experiment workspaces with plans, findings, checkpoints, and research.
DriveConnect-alphaScan codebases and configurations for OWASP 2025 security risks.
