research literacy

AI agents tend to execute analysis steps immediately without planning or justification. In research, every analysis decision needs a rationale grounded in theory, design, and data characteristics. This skill encodes the basic scientific thinking that should precede any domain-specific action.

A competent programmer without research training will typically: (a) pick a familiar method rather than the appropriate one, (b) skip assumption checks, (c) interpret results without considering alternative explanations, and (d) make undisclosed analytic choices that inflate false positive rates. This skill exists to prevent all four failure modes.

This skill was generated by AI from academic literature. All parameters, thresholds, and citations require independent verification before use in research. If you find errors, please open an issue.

核となる科学的方法論の原則: 研究計画、方法の正当化、仮定のチェック、認知科学と神経科学のための人間参加型の意思決定 ソース: haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。