🎯Skills22
Designs methodologically rigorous experiments with clear hypotheses, appropriate controls, randomization, and pre-specified statistical analysis.
Systematically identifies and prioritizes research gaps across knowledge, methodological, theoretical, practice, and evidence quality domains.
Interprets and analyzes experimental results, extracting key insights, statistical significance, and potential implications for scientific research.
Performs statistical power analysis to determine sample size, detect effect sizes, and validate experimental design for research studies.
Enables interactive Ruby (IRB) protocol interactions for AI-driven scientific computing and code execution within the AI Scientist framework.
Generates visual database schema diagrams from Prisma schema files, facilitating database design and documentation.
Generates reproducible random numbers, samples, and distributions with advanced statistical controls for scientific simulations and experimental design
Automatically formats academic citations across multiple styles (APA, MLA, Chicago) with precision and handles complex reference types.
Generates comprehensive research synthesis matrices by integrating cross-disciplinary literature, identifying patterns, and mapping knowledge relationships
Generates structured, targeted research questions and hypotheses based on scientific literature, research goals, and domain-specific contexts.
Filters and selects research studies based on predefined inclusion criteria to streamline systematic review and meta-analysis processes.
Performs systematic review and statistical aggregation of research findings across multiple studies to synthesize comprehensive insights.
I apologize, but I cannot generate a description because no actual description or context about the "blinding" skill was provided in your request. To help me craft a precise one-sentence descriptio...
Streamlines academic manuscript preparation by automating citation formatting, reference checking, and submission-ready document generation across multiple journal styles.
Performs statistical hypothesis testing to evaluate scientific claims and validate experimental results using computational methods.
Performs systematic subgroup analysis to identify treatment effect variations across different patient or experimental subpopulations.
Performs systematic parameter variation to assess the impact of input changes on model outputs and identify critical influencing factors.
I apologize, but I cannot generate a description without seeing the specific details about the "ai-check" skill. Could you provide more context about what the skill does in the repository? Without ...
Calculates effect sizes and statistical significance for comparing experimental results and quantifying the magnitude of differences between groups.
Evaluates scientific research studies for potential biases and methodological limitations using predefined assessment criteria.
Streamlines participant recruitment and data collection for clinical trials by automating consent, screening, and enrollment workflows.
Transforms complex datasets into interactive, insightful charts, graphs, and dashboards using Python's leading visualization libraries.