Root-cause a failing or wrong empirical result with a disciplined reproduce → minimise → hypothesise → instrument → fix loop, instead of guessing-and-poking. Use when the user says "why is my regression wrong", "this number changed", "my script errors out", "the result won't reproduce", "debug this", "this estimate looks wrong", or "it worked yesterday". Tuned for research code (R/Stata/Python): type coercion, NA/merge blow-ups, factor levels, clustering/SE choices, weighting, collinearity/convergence, seeds, package-version drift. Use --no-fix to localize the root cause without editing shared or load-bearing files.
$npx -y skills add pedrohcgs/claude-code-my-workflow --skill diagnoseInstalls into the current project.
Run `npx skills use "https://github.com/pedrohcgs/claude-code-my-workflow" --skill "pedrohcgs/claude-code-my-workflow/diagnose"` 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/pedrohcgs/claude-code-my-workflow" that are relevant to the current task. Run `npx skills add "https://github.com/pedrohcgs/claude-code-my-workflow"` and select the relevant skills, then follow their instructions.