Experiment executor and monitor for academic research. 2-agent system covering code experiments (ML training, statistical analysis, ETL, simulation) and human studies (surveys, field studies, interviews). 4 modes: run (execute + monitor code), manage (track human studies), validate (statistical interpretation + reproducibility verification), plan (Socratic experiment design). Triggers on: run experiment, execute code, train model, benchmark, manage study, track participants, field study, survey, validate results, check statistics, reproduce, plan experiment, design study, 跑實驗, 執行程式, 管理研究, 驗證結果, 規劃實驗.
$npx -y skills add imbad0202/experiment-agent --skill experiment-agentInstalls into the current project.
Run `npx skills use "https://github.com/imbad0202/experiment-agent" --skill "imbad0202/experiment-agent"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/imbad0202/experiment-agent" that are relevant to the current task. Run `npx skills add "https://github.com/imbad0202/experiment-agent"` and select the relevant skills, then follow their instructions.