research-practices

What problem does it solve?

This Skill helps you conduct rigorous, bias-aware research when you need to compare technologies, evaluate prior art, review academic findings, or make non-trivial technical decisions. It keeps the work structured so you do not end up with shallow, source-heavy but unreliable conclusions.

Core Features & Use Cases

• Structured inquiry: Clarifies the question, scope, assumptions, and decision criteria before gathering evidence.
• Source quality control: Tags evidence by reliability, prioritizes primary sources, and checks for bias, validity, and conflicting claims.
• Comparison and decision support: Builds evaluation matrices, trade-off analyses, and recommendation-ready summaries for libraries, frameworks, and methods.
• Use case: Compare multiple orchestration tools for an AI agent workflow, or summarize world-wide best practices for RAG evaluation with a clear recommendation.

Quick Start

Ask the research-practices skill to investigate your topic, compare the options, and return a Japanese evidence-based report with sources, bias checks, and a recommendation.