Updated 2mo ago
by soupandpsy
amazing-psycoder-skills
AI skills for psychology experiment programming and data analysis, from task design and code generation to reproducible statistical workflows.
36 GitHub stars (36)
+3 in 16 days
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- 7 skills (7 skills found in its SKILL.md files)
- 1 forks (1 forks)
- 2mo ago last update (Last updated 2mo ago)
Install
Skills CLI
npx skills add soupandpsy/amazing-psycoder-skills
Asks which skills and agents to install. Just one: npx skills add soupandpsy/amazing-psycoder-skills --skill amazing-psycoder — add -g for every project.
Claude Code
git clone https://github.com/soupandpsy/amazing-psycoder-skillscp -r "amazing-psycoder-skills/amazing-psycoder" ~/.claude/skills/
Copies the amazing-psycoder skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add soupandpsy/amazing-psycoder-skills
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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amazing-psycoder
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-s…
amazing-psycoder/SKILL.md on GitHub (opens in a new tab) -
psy-ana-coder
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-readines…
amazing-psycoder/psy-ana-coder/SKILL.md on GitHub (opens in a new tab) -
psy-ana-designer
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…
amazing-psycoder/psy-ana-designer/SKILL.md on GitHub (opens in a new tab) -
psy-ana-reviewer
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 find…
amazing-psycoder/psy-ana-reviewer/SKILL.md on GitHub (opens in a new tab) -
psy-exp-coder
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 choic…
amazing-psycoder/psy-exp-coder/SKILL.md on GitHub (opens in a new tab) -
psy-exp-designer
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 YAM…
amazing-psycoder/psy-exp-designer/SKILL.md on GitHub (opens in a new tab) -
psy-exp-reviewer
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 block…
amazing-psycoder/psy-exp-reviewer/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.
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