scientific-critical-thinking

The skill evaluates scientific claims by applying a structured critical thinking framework that assesses methodology, bias, and evidence quality. It incorporates reference materials and a modular evaluation workflow to produce transparent critique and reproducible feedback.

The best way to critique study design is using a modular evaluation workflow that evaluates validity and measurement quality. Bias detection is handled by identifying cognitive, selection, and analysis biases to ensure responsible scientific conclusions.

Yes, this critical thinking framework is explicitly applicable to peer-review and classroom instruction across disciplines. It provides structured critique support for manuscript evaluation and teaching by assessing evidence strength, consistency, and limitations.

You can grade evidence strength by assessing the strength, consistency, and limitations of provided claims. The framework applies structured critique to research proposals to evaluate evidence quality and guide responsible conclusions.

No specific formatting is required, but the framework utilizes YAML frontmatter-guided principles and reference materials like scientific_method.md. It is designed for literature reviews and research proposals across disciplines without strict formatting dependencies.