3 skills in this category
General-purpose writing skills stop where field conventions begin. The skills in this category encode the methods of a specific discipline — regression workflows and robustness checks for empirical social science, protocol design and evidence grading for medical research, or overnight experiment loops for machine learning — so the agent already knows what a defensible analysis looks like in your field.
Pick by discipline first, depth second: Auto Empirical Research Skills spans eight social-science fields, Medical Research Skills covers clinical and biomedical workflows, and ARIS runs autonomous ML research cycles while you sleep. If your field is not covered yet, a general research suite plus your own domain prompts is the usual fallback.
Let Claude Code run ML research overnight — idea discovery, GPU experiments, and a cross-model adversarial review loop with GPT-5.6-Sol that scored a real paper from 5.0/10 to 7.5/10 across 20+ autonomous experiments.
A 1,150-skill catalog across 69 vendored collections for empirical social-science research — econometrics, causal inference, replication, and manuscript writing, routed by task rather than read all at once.
A 554-skill library built exclusively for medical and biomedical researchers, covering evidence discovery, protocol design, omics analysis, clinical statistics, and manuscript writing — every skill audited before release.
Generate publication-quality methodology diagrams, ML architectures, and statistical charts from a text prompt.
Try the figure generator