research-questions
π―Skillfrom astoreyai/ai_scientist
|Generates structured, targeted research questions and hypotheses based on scientific literature, research goals, and domain-specific contexts.
Part of
astoreyai/ai_scientist(23 items)
Installation
/plugin marketplace add https://github.com/astoreyai/ai_scientist/plugin install research-assistantpython tools/ai_check.py manuscript.texMore from this repository10
Professional research tools for PhD students and academics
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.
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.
Performs statistical power analysis to determine sample size, detect effect sizes, and validate experimental design for research studies.
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 reproducible random numbers, samples, and distributions with advanced statistical controls for scientific simulations and experimental design