Individual skill
clinic-research-design
Generates a structured prompt framework for clinical study protocols. Supports Diagnostic, Efficacy, Etiology, and Prognosis studies. Calculates sample size and provides logic guides for LLMs.
scientific-skills/Protocol Design/clinic-research-design/SKILL.md
Source commit 686e09dfdb45d9fa1a08664f06bb93769b3c9d91
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Instructions only
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 2,042
- Repository last updated
- Sep 17, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- 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
- research Derived category
Files and excerpt
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Browse files
POLISH_CHANGELOG.mddoc · 601 bytesSKILL.mdcore · 8,284 bytesSKILL.mdcore · 8,284 bytesSKILL.mdcore · 8,284 bytesSKILL.mdcore · 8,284 bytesSKILL.mdcore · 8,284 bytesSKILL.mdcore · 8,284 bytesSKILL.mdcore · 8,284 bytesSKILL.mdcore · 8,284 bytesSKILL.mdcore · 8,284 bytesSKILL.mdcore · 8,284 byteseval_report_clinic-research-design_result.jsonasset · 10,896 bytes
Read excerpt
> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
## When to Use
- Use this skill when the request matches its documented task boundary.
- Use it when the user can provide the required inputs and expects a structured deliverable.
- Prefer this skill for repeatable, checklist-driven execution rather than open-ended brainstorming.
## Key Features
- Scope-focused workflow aligned to: Generates a structured prompt framework for clinical study protocols. Supports Diagnostic, Efficacy, Etiology, and Prognosis studies. Calculates sample size and provides logic guides for LLMs.
- Packaged executable path(s): `scripts/calculators/sample_size.py` plus 4 additional script(s).
- Structured execution path designed to keep outputs consistent and reviewable.
## Dependencies