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amazing-psycoder-skills
amazing-psycoder-skills には soupandpsy から収集した 7 個の skills があり、リポジトリ単位の職業カバレッジとサイト内 skill 詳細ページを表示します。
このリポジトリの skills
Use for generating data analysis scripts (R or Python) from a completed analysis config YAML. Reads the analysis config and generates reproducible scripts with inline documentation, statistical modeling, assumption checks, sensitivity analysis, publication-quality figures, and reports. Does NOT design analyses — that is psy-ana-designer's job. Trigger for 生成分析代码、analysis script、R分析、Python分析 / 分析コード生成、R分析コード / Analyse-Code generieren, R-Analyse, Python-Analyse / generer code analyse, analyse R, analyse Python.
Use for designing data analysis plans for behavioral psychological experiments. Reads the experiment config YAML and guides through a progressive confirmation workflow — asking about scientific questions, data structure, desired outcomes, and analysis methods. Thinks critically: compares the user's proposed method with alternatives, presents both with full reasoning, then lets the user decide. References 60 analysis methods and 48 chart types. Outputs a complete analysis config YAML. Does NOT generate code. Trigger for 设计分析方案、确定统计方法、analysis plan、分析方法选择、用什么统计方法、数据该怎么分析 / 分析計画、統計手法選定、データ分析設計 / Analyseplan, statistische Methode wahlen, Datenanalyse-Design / plan analyse, choix methode statistique.
Use for reviewing data analysis scripts at any stage — from analysis plan through completed script. Performs reproducible-research checks: seed, effect size, multiple comparison correction, assumption testing, exclusion logging, and session info. Detects analysis anti-patterns and outputs a graded audit report with readiness label. Does NOT generate or fix analysis code. Trigger for 检查分析代码、analysis review、统计方法审查、分析脚本有没有问题、check analysis script / 分析コードレビュー、分析監査 / Analyse-Code-Review, Analyse-Audit / revue de code analyse, audit analyse.
Use for generating, modifying, or debugging experiment code across platforms. Receives a completed config YAML and generates platform-specific code using a unified Generation Pipeline. Supports PsychoPy (27 paradigms), jsPsych (25 paradigms), and Psychtoolbox (5 paradigms + 100 demos). Handles timing, stimulus creation (including Chinese text), condition files, trial loops, data saving, and hardware integration. Trigger for 实验代码生成、编写实验、PsychoPy代码、psychopy实验、psychopy报错、psychtoolbox、jspsych / 実験コード生成、サイコパイコード / Experiment-Code generieren, PsychoPy-Code / generer code experience, code PsychoPy.
Use for designing and specifying psychological experiments. Guides through a unified 5-phase workflow to produce a complete config YAML, then routes to psy-exp-coder for code generation. Does NOT generate code itself — the orchestration and specification layer. Supports PsychoPy, jsPsych, and Psychtoolbox with 38 paradigm references. Trigger for 中文/English requests about 心理学实验程序、实验代码、PsychoPy、trial/block结构、刺激呈现、随机化、反应时、条件表、Go/No-go、Navon、Stroop、priming、IAT、N-back、dot-probe、visual search、task switching、rating、stop-signal / 心理学実験、実験デザイン、サイコパイ / psychologisches Experiment, Experimentdesign / experience psychologique, protocole experimental, PsychoPy.
Use for reviewing psychological experiment code quality at any stage — from early design idea through completed code. Supports five modes: code-audit (full platform-aware code review with smoke test protocol), config-audit (pre-code design review), implementation-plan-review (architecture review), triage-only (missing-information checklist from natural-language idea), and blocked (insufficient input). Does NOT generate or fix code. Trigger for 检查实验代码、code review、实验程序审查、能不能正式采集、代码有没有问题、check experiment code、实验设计有没有问题、帮我看看这个实验方案 / 実験コードレビュー、実験監査 / Experiment-Code-Review, Code-Audit, Experiment prufen / revue de code experimental, audit de code.
Entry point for the Amazing PsyCoder system. Routes user requests through two mandatory three-skill chains — Experiment: Designer(5-phase design)→Coder→Reviewer, and Analysis: Designer(5-phase progressive)→Coder→Reviewer. Supports PsychoPy, jsPsych, Psychtoolbox (38 paradigms) for experiments; R and Python for data analysis (60 methods + 48 charts). Trigger for 心理学实验、实验代码、PsychoPy实验、编写实验、数据分析、统计分析、analysis plan、生成分析代码、审计实验代码、审计分析代码.