Conducts systematic research and trade-off analysis to provide evidence-based recommendations for technical stacks and architecture.
The Tech Decision skill provides a structured framework for navigating complex technical choices, from selecting libraries to determining architectural patterns. It orchestrates a parallel workflow of specialized agents to analyze your codebase, research official documentation, scan community sentiment on platforms like Reddit and Hacker News, and gather diverse AI expert opinions. The result is a comprehensive, conclusion-first report that weights options against your specific project constraints and identifies potential risks.
主要功能
01Executive-summary reports with 'Conclusion-First' delivery
02Parallel multi-source research using specialized sub-agents
030 GitHub stars
04Community sentiment analysis via dev-scan integration
05Context-aware recommendations based on existing codebase patterns
06Weighted scoring systems for objective technical comparisons
使用场景
01Making high-level architectural decisions such as Monolith vs. Microservices
02Comparing competing frameworks or libraries like React vs. Vue or Prisma vs. TypeORM
03Evaluating implementation strategies like REST vs. GraphQL or WebSockets vs. Polling
