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.