Individual skill

non-tumor-ml-research-planner

Generates complete non-tumor biomedical machine learning research designs from a user-provided research direction. Always use this skill when users want to plan bioinformatics + ML papers for non-cancer diseases (metabolic, cardiovascular, kidney, inflammatory, autoimmune, infectious, neurological, endocrine, wound healing, chronic multifactor), design diagnostic biomarker studies, combine GEO datasets with feature selection and ML modeling, or generate Lite/Standard/Advanced/Publication+ workload plans. Trigger for:"non-tumor ML study", "bioinformatics paper outside oncology", "key genes and diagnostic model for a disease", "pyroptosis/ferroptosis/senescence/autophagy + disease", "GEO datasets + machine learning", "RF + LASSO diagnostic model", "DEG + feature selection + validation", "immune infiltration + biomarker", "non-cancer biomarker paper". Trigger even for casual phrasings like "I want to study X using machine learning", "help me design a non-tumor bioinformatics paper", or "how do I build a diagnostic model for disease Y".

scientific-skills/Protocol Design/non-tumor-ml-research-planner/SKILL.md

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Observed behavior: Instructions only
Last checked: Nov 9, 2026

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Repository stars (not skill ratings): 2,037
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
research Derived category
design Derived category
education Derived category

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SKILL.mdcore · 9,059 bytes
eval_report_non-tumor-ml-research-planner-v2_result.jsonasset · 11,179 bytes
references/configurations.mddoc · 5,377 bytes
references/modules-and-methods.mddoc · 6,145 bytes
references/study-patterns.mddoc · 4,819 bytes

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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)

# Non-Tumor ML Research Planner

Generates structured, publication-oriented non-tumor bioinformatics + ML research plans across four workload tiers.

## Input Validation (read first)

**Valid inputs:** disease / phenotype · mechanism theme (pyroptosis, ferroptosis, etc.) · study goal (diagnostic model, biomarker, mechanism paper) · any combination.  
**Minimum viable input:** one disease + one goal or mechanism theme.

**This skill does NOT cover tumor or oncology studies.** For cancer ML research (e.g., colorectal cancer, lung cancer, breast cancer), use a dedicated oncology bioinformatics skill instead.

> **Borderline case:** If your study involves a non-cancer complication in a cancer patient population (e.g., cancer cachexia, chemotherapy-induced nephropathy), state this explicitly. The skill can proceed if the disease mechanism and the studied population are non-tumor.