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.
Principes fondamentaux de la méthodologie scientifique : planification de la recherche, justification des méthodes, vérification des hypothèses et prise de décision humaine pour les sciences cognitives et les neurosciences Source : haoxuanlithuai/awesome_cognitive_and_neuroscience_skills.