My-Jogyo
Automated research workflows with reproducible notebooks and verified findings
All Skills in This Repository (3)
Pure Emerald Level Indicatorsexperiment-design
Generate seeds, splits, power estimates, stopping rules, and reporting templates for reproducible experiments in Python with NumPy, pandas, scikit-learn, and statsmodels.
ml-rigor
Automate ML evaluation with baselines, stratified cross-validation, and leakage checks.
data-analysis
Load, clean, and summarize tabular datasets with descriptive statistics.
Frequently Asked Questions
FAQPage SchemaHow to install Gyoshu?โผ
Run `npx skills add Yeachan-Heo/My-Jogyo --all -g -y` in your terminal to install all skills in this suite globally.
How to automate data research with AI?โผ
Set a goal with /gyoshu-auto and the system plans the research, runs Python experiments, and delivers a verified notebook and report without manual steps.
Does Gyoshu work with Claude Code and OpenCode?โผ
Yes. It runs as an MCP server in Claude Code and as a plugin in OpenCode, with all research tools available automatically after setup.
How does Gyoshu verify research results?โผ
A dedicated reviewer agent challenges every claim, calculates trust scores, and requires both evidence quality and goal completion before marking work as successful.
Can I use Gyoshu without coding experience?โผ
Yes. You describe your research goal in plain English and the agents handle the Python code, statistics, and report writing for you.
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