inclusion-criteria-design
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/inclusion-criteria-designDefine inclusion/exclusion criteria for systematic study selection in meta-analysis
- Solves the problem of inconsistent or biased study selection in meta-analysis
- Depends on PICO framework and study type definitions from earlier analysis
- Applies structured decision rules to classify studies based on predefined criteria
- Delivers a reproducible eligibility document for multi-reviewer screening
SKILL.md
.github/skills/inclusion-criteria-designView on GitHub ↗
--- name: inclusion-criteria-design description: Define inclusion/exclusion criteria for systematic study selection in meta-analysis execution: subagent prompt: ./prompt.md input: pico_framework, study_types used-by: meta-analysis --- # Inclusion Criteria Design SOP Define rigorous inclusion and exclusion criteria for study selection, ensuring reproducibility and minimizing selection bias. ## When to Use - After PICO formulation is complete - Before beginning systematic search - When refining scope after pilot search reveals too many/few results ## Input - `pico_framework`: The structured PICO/PECO output from pico-formulation - `study_types`: Acceptable study designs (RCT, cohort, case-control, cross-sectional, etc.) ## Output Complete eligibility criteria document with decision rules for borderline cases, suitable for independent screening by multiple reviewers.