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soupandpsy

@soupandpsy source repo

7 published skills

  1. ▌
    Amazing Psycoder · soupandpsy bundle
    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. Supports PsychoPy, jsPsych, Psychtoolbox, R, and Python. For a clearly scoped single-stage request, route directly to the matching psy-exp-* or psy-ana-* skill.
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  2. ▌
    Psy Ana Coder · soupandpsy bundle
    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 errors. Do not choose unresolved statistical methods or issue publication-readiness verdicts; use psy-ana-designer or psy-ana-reviewer for those stages.
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  3. ▌
    Psy Exp Coder · soupandpsy bundle
    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 errors, and targeted code changes. Do not invent unresolved experimental design choices or issue readiness verdicts; route those to psy-exp-designer or psy-exp-reviewer.
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  4. ▌
    Psy Ana Designer · soupandpsy bundle
    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 “数据该怎么分析/用什么统计方法”. Compare viable methods before the user chooses. Do not generate or audit R/Python code; use psy-ana-coder or psy-ana-reviewer for those stages.
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  5. ▌
    Psy Ana Reviewer · soupandpsy bundle
    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 “检查分析代码/统计方法审查/分析脚本有没有问题”. Select the review mode from the available input and report graded findings plus a readiness label. Do not generate or fix analysis code.
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  6. ▌
    Psy Exp Designer · soupandpsy bundle
    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 switching, Go/No-go, or stop-signal, and needs a confirmed experiment config YAML. Do not use to implement/debug existing code or to audit readiness; use psy-exp-coder or psy-exp-reviewer instead.
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  7. ▌
    Psy Exp Reviewer · soupandpsy bundle
    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”. Select code-audit, config-audit, implementation-plan-review, triage-only, or blocked mode from the available input. Report graded findings and a readiness label; do not generate fixes.
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