How does this skill improve the engineering workflow?

It ensures that research tasks have clear goals, defined deliverables, and allocated resources, preventing 'analysis paralysis' and ensuring findings are shared with the team.

What is a technical spike?

A technical spike is a time-boxed investigation or research period used to explore specific technical problems or new technologies to reduce project risk and uncertainty.

Who is this Claude Code skill designed for?

This skill is primarily designed for Engineering Leads, Staff Engineers, and Architects responsible for scoping work and making high-level technical decisions.

What is the primary output of this skill?

The primary output is a Spike Charter which includes background information, questions to be answered, success criteria, and a structured plan for the investigation.

Technical Spike Architect

Name: Technical Spike Architect
Author: edwardmonteiro

byedwardmonteiro

コラボレーションツール

Scopes and prioritizes technical spikes to de-risk architecture and implementation uncertainties for engineering teams.

概要

The Technical Spike Architect skill helps engineering leaders and staff engineers systematically define research tasks to reduce project uncertainty. It streamlines the process of creating comprehensive spike charters, defining measurable success criteria, and outlining timeboxed work plans. This ensures that technical investigations yield actionable data, enabling teams to make informed architectural decisions and transition findings smoothly into the development backlog.

主な機能

Defines explicit success criteria and evaluation benchmarks
Provides guidance for converting spike results into actionable user stories
Outlines detailed work plans with task ownership and timeboxing
0 GitHub stars
Generates structured spike charters with background and research questions
Recommends instrumentation and data collection strategies

ユースケース

De-risking complex architectural changes or legacy system migrations
Evaluating new technologies or libraries before full-scale implementation
Investigating performance bottlenecks to determine optimal resolution paths

概要

主な機能

Defines explicit success criteria and evaluation benchmarks
Provides guidance for converting spike results into actionable user stories
Outlines detailed work plans with task ownership and timeboxing
0 GitHub stars
Generates structured spike charters with background and research questions
Recommends instrumentation and data collection strategies

ユースケース

De-risking complex architectural changes or legacy system migrations
Evaluating new technologies or libraries before full-scale implementation
Investigating performance bottlenecks to determine optimal resolution paths