Can I use this skill for performance benchmarking?

Yes, 'Performance' is a core spike type supported by the skill, designed to answer whether a specific technology or approach can meet your defined metrics.

Where are the research findings and reports saved?

All generated spike reports, decision logs, and proof-of-concept code are automatically stored in the .claude/spikes/ directory within your repository.

How does the Spike skill prevent rabbit holes?

It enforces strict time limits—usually 2 to 4 hours—and requires mandatory checkpoints at 25%, 50%, and 75% of the budget to evaluate if the investigation is on track or needs a pivot.

What is a 'Spike' in software development?

A spike is a time-boxed research task used to reduce uncertainty, answer specific technical questions, or explore the feasibility of an approach before committing to full implementation.

Does it integrate with other project management tools?

While deeply integrated with the 'ohno' task manager for automated tracking, the structured reports can be used with any project management workflow.

Spike Research Assistant

Name: Spike Research Assistant
Author: srstomp

bysrstomp

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生产力与工作流

Conducts time-boxed technical investigations and feasibility studies with structured reports and actionable outcomes.

关于

The Spike skill enables reliable autonomous development by transforming vague technical concerns into bounded, question-focused research sessions. It enforces strict time-boxing to prevent rabbit holes, manages mandatory checkpoints for progress assessment, and generates comprehensive reports that result in clear GO/NO-GO decisions. By integrating with task management systems like ohno, it ensures that every technical exploration leads to documented evidence and concrete follow-up tasks, effectively reducing architectural uncertainty in any codebase.

主要功能

Standardized report generation including evidence, PoC code, and decision logs
Automated checkpoint management (25%, 50%, 75%) for continuous progress assessment
Structured question framing to turn vague concerns into measurable research targets
2 GitHub stars
Direct integration with ohno for automated task creation and follow-up tracking
Strict time-boxing (2-4 hours) to prevent scope creep and unproductive deep-dives

使用场景

Performance analysis to identify bottlenecks and validate potential optimizations
Architecture exploration to compare different design patterns or data models
Feasibility studies for evaluating new libraries, APIs, or cloud services

关于

主要功能

Standardized report generation including evidence, PoC code, and decision logs
Automated checkpoint management (25%, 50%, 75%) for continuous progress assessment
Structured question framing to turn vague concerns into measurable research targets
2 GitHub stars
Direct integration with ohno for automated task creation and follow-up tracking
Strict time-boxing (2-4 hours) to prevent scope creep and unproductive deep-dives

使用场景

Performance analysis to identify bottlenecks and validate potential optimizations
Architecture exploration to compare different design patterns or data models
Feasibility studies for evaluating new libraries, APIs, or cloud services