spike

Decompose ideas into testable hypotheses and build disposable prototypes.

1|Updated May 12, 2026

Search Tags:#mvp #feasibility #exploration #prototype #experiment #spike

Ready to run

npx skills add https://github.com/projectedanx/hermes-agent --skill spike-projectedanx

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: spike
Source: https://github.com/projectedanx/hermes-agent/tree/main/skills/software-development/spike
Command: npx skills add https://github.com/projectedanx/hermes-agent --skill spike-projectedanx

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the uncertainty of building unproven features by providing a structured, disposable framework to test feasibility before committing to full-scale development.

Core Features & Use Cases

Feasibility Validation: Quickly determine if a technical approach is viable or if it hits a dead end.
Risk Mitigation: Identify and test the most dangerous assumptions first to avoid wasting time on doomed projects.
Use Case: Before building a complex real-time streaming feature, use this skill to create a throwaway prototype that confirms if the chosen library can handle the required latency.

Quick Start

Use the spike skill to investigate whether we can integrate the new websocket library by building a small prototype.

Frequently Asked Questions about spike

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

FAQPage Schema

What is a technical spike for validating project feasibility?▼

A technical spike is a rapid, disposable experiment used to validate project feasibility and compare implementation approaches before committing to full-scale development. It targets risk assessment by testing dangerous assumptions early.

How do I test the most dangerous technical assumptions before building a feature?▼

Test dangerous assumptions by systematically decomposing ideas into testable hypotheses with observable outcomes. Create a throwaway prototype to confirm if a chosen library or approach handles required constraints like latency.

When should I create a throwaway prototype instead of full-scale development?▼

Create a throwaway prototype when facing unproven features or high uncertainty. Use a spike to investigate integration viability, mitigate risk, and confirm technical feasibility before investing in complete implementation.

How do I compare implementation approaches for a complex feature like real-time streaming?▼

Compare implementation approaches by running rapid technical experiments to observe outcomes. Build small prototypes to evaluate if specific libraries can handle required performance constraints before selecting a final architecture.

Do I need to integrate a new library to test if it handles required latency?▼

No, you do not need full integration. Build a small, isolated prototype to investigate whether the new library can handle the required latency, allowing you to validate the approach without committing to full-scale development.