Route Amazing PsyCoder requests to the correct psychological experiment or behavioral-data analysis stage: Designer, Coder, or Reviewer. Use for end-to-end or multi-stage work, ambiguous requests such as “帮我做 Stroop”, cross-pipeline work, system-capability questions, or explicit invocations of Amazing PsyCoder.…
Generate, modify, or debug reproducible R or Python analysis code from a completed analysis config YAML or concrete existing script. Use for data import/cleaning, statistical models, assumption checks, effect sizes, sensitivity analyses, publication figures, reports, session information, and analysis-script runtime…
Design a behavioral-psychology data analysis plan and produce a confirmed analysis config YAML. Use for scientific-question formulation, data-structure intake, statistical-method selection, analysis plans, cleaning/exclusion rules, effect sizes, assumption checks, sensitivity analyses, and figure choices, including…
Audit a behavioral-data analysis plan or R/Python script without modifying it. Use for statistical-method review, reproducibility review, publication readiness, seeds, exclusion logging, effect sizes, multiple-comparison correction, assumptions, sensitivity analyses, figures, session information, and…
Generate, modify, or debug runnable psychological experiment code when a completed experiment config YAML or concrete existing code is available. Use for PsychoPy/Python, jsPsych/JavaScript, or Psychtoolbox/MATLAB timing, stimuli, condition files, trial loops, data saving, hardware integration, CJK text, runtime…
Design or revise a psychological experiment before implementation. Use when the user has an idea, partial protocol, trial/block structure, timing, randomization, response mapping, condition table, PsychoPy/jsPsych/ Psychtoolbox target, or a paradigm such as Stroop, IAT, N-back, priming, dot-probe, visual search, task…
Audit psychological experiment ideas, configs, implementation plans, or code without modifying them. Use for code review, design review, readiness for data collection, timing/RT correctness, condition balance, data integrity, PsychoPy/jsPsych/Psychtoolbox anti-patterns, smoke-test guidance, or “实验代码 有没有问题/能不能正式采集”.…