research-critical

What problem does it solve?

This Skill addresses the challenge of critically evaluating scientific claims and research quality by providing a structured framework for assessment. It helps users identify biases, assess evidence, and understand the reliability of research findings.

Core Features & Use Cases

• Claim Analysis: Breaks down scientific claims into their core components (claim, evidence, reasoning, assumptions, limitations).
• Evidence Hierarchy: Applies frameworks like GRADE to assess the certainty of evidence.
• Bias Detection: Utilizes checklists to identify common biases in research (selection, performance, detection, attrition, reporting).
• Study Design Evaluation: Assesses the quality of Randomized Controlled Trials (RCTs) using CONSORT and observational studies using STROBE guidelines.
• Statistical Interpretation: Guides the correct interpretation of p-values and effect sizes.
• Use Case: When reviewing a new medical study, use this Skill to systematically evaluate its methodology, identify potential biases, and determine the strength of its conclusions based on established scientific standards.

Quick Start

Use the research-critical skill to evaluate the scientific claim provided in the text.