Source: https://github.com/aipoch/medical-research-skills

When to Use

Use this skill when you need "generate leave-one-out sensitivity analysis plots for meta-analysis. input is a csv file containing meta-analysis data; outputs are a sensitivity forest plot (png) and a sensitivity data table (csv) showing pooled effect estimates after excluding each study in turn." in a reproducible workflow.
Use this skill when a data analytics task needs a packaged method instead of ad-hoc freeform output.
Use this skill when the user expects a concrete deliverable, validation step, or file-based result.
Use this skill when scripts/sensitivity_analysis.py is the most direct path to complete the request.
Use this skill when you need the meta-sensitivity-plot package behavior rather than a generic answer.

Key Features

Scope-focused workflow aligned to: "Generate leave-one-out sensitivity analysis plots for meta-analysis. Input is a CSV file containing meta-analysis data; outputs are a sensitivity forest plot (PNG) and a sensitivity data table (CSV) showing pooled effect estimates after excluding each study in turn.".
Packaged executable path(s): scripts/sensitivity_analysis.py.
Structured execution path designed to keep outputs consistent and reviewable.

Python: 3.10+. Repository baseline for current packaged skills.
Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.