What is the Tech Decision skill?

It is a Claude Code extension that automates technical research and comparison, providing a structured report to help developers choose the best tools or architectures.

Does it include community opinions?

Yes, it utilizes the dev-scan skill to gather sentiment and real-world feedback from platforms like Reddit, Hacker News, and Dev.to.

How does it evaluate different options?

It uses parallel agents to scan your codebase, official documentation, and community discussions, then scores options against criteria like performance, maintainability, and learning curve.

Can it analyze my existing code?

Yes, it includes a codebase-explorer agent that identifies patterns and constraints in your current project to ensure the recommendation fits your environment.

Is the output easy to read?

Absolutely. It follows a 'Conclusion First' principle, providing a clear recommendation followed by detailed evidence, scoring tables, and risk factors.

Tech Decision Analysis

Name: Tech Decision Analysis
Author: team-attention

byteam-attention

•

生产力与工作流

Conducts deep technical research and multi-source analysis to provide evidence-based recommendations for architecture and library choices.

Tech Decision is a specialized multi-agent workflow for Claude Code designed to resolve complex technical dilemmas through systematic evaluation. It orchestrates parallel research across existing codebases, official documentation, community forums like Reddit and Hacker News, and expert AI perspectives to compare options such as React vs. Vue or Monolith vs. Microservices. By prioritizing a 'Conclusion First' approach, it delivers comprehensive reports featuring weighted scoring, risk assessment, and clear rationale, helping developers and architects make informed tooling and structural choices with confidence.

主要功能

01Integration with community sentiment via Reddit, Hacker News, and Dev.to

02Parallel multi-agent research across codebases, docs, and community forums

03Evidence-based tradeoff analysis with sourced pros and cons

0464 GitHub stars

05Weighted evaluation criteria customized to project-specific priorities

06Conclusion-first reporting for rapid executive and technical decision-making

使用场景

01Evaluating implementation strategies like Server-side vs. Client-side rendering

02Choosing between competing libraries or frameworks like Prisma vs. TypeORM

03Deciding on major architectural patterns such as REST vs. GraphQL

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add team-attention/hoyeon tech-decision

For use in Claude.ai and ChatGPT

Download Skill