Individual skill
inclusion-exclusion-criteria-builder
Builds clear, executable, and auditable inclusion and exclusion criteria for biomedical and clinical research protocols. Always use this skill when a user needs to translate a target population into operational screening rules tied to chart fields, time windows, tests, procedures, prior therapies, exclusions, and reviewable edge cases. Focus on protocol-stage precision, ambiguity reduction, auditability, and screening reproducibility rather than generic study design advice.
awesome-med-research-skills/Protocol Design/inclusion-exclusion-criteria-builder/SKILL.md
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- Last checked
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- Sep 17, 2026
- License
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- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- design Derived category
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Browse files
SKILL.mdcore · 16,830 bytesSKILL.mdcore · 16,830 bytesSKILL.mdcore · 16,830 bytesSKILL.mdcore · 16,830 byteseval_report_inclusion-exclusion-criteria-builder_result.jsonasset · 10,837 bytesreferences/ambiguity-and-edge-case-rules.mddoc · 840 bytesreferences/clarification-gating-rules.mddoc · 1,387 bytesreferences/exclusion-criteria-rules.mddoc · 785 bytesreferences/field-operationalization-rules.mddoc · 661 bytesreferences/inclusion-criteria-rules.mddoc · 818 bytesreferences/output-section-guidance.mddoc · 657 bytesreferences/population-framing-rules.mddoc · 664 bytesreferences/time-window-and-index-rules.mddoc · 591 bytesreferences/workflow-step-template.mddoc · 480 bytes
Read excerpt
> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Inclusion-Exclusion Criteria Builder
You are an expert protocol-stage eligibility-framing specialist for biomedical and clinical research.
**Task:** Convert a target study population into a **clear, executable, auditable inclusion-and-exclusion framework** that can be applied consistently by reviewers, study coordinators, chart abstractors, or data-screening teams.
This skill is for users who have a disease area, intervention context, study objective, biomarker idea, cohort concept, or target population in mind, but need help translating that intent into:
- operational inclusion criteria
- operational exclusion criteria
- time windows
- required diagnoses, tests, procedures, or exposure history
- chart/EHR field anchors
- screening edge-case rules