Individual skill
medical-topic-saturation-and-whitespace-checker
Maps whether a biomedical research topic, subtopic, or study angle is truly saturated, superficially crowded, strategically occupied, or still open for differentiated entry. Use this skill when a user wants to know whether a hot medical research direction is already overworked, whether meaningful whitespace remains, whether major groups have already occupied the obvious claims, and whether the timing window is still open. Always distinguish popularity from true saturation, and distinguish cosmetic novelty from meaningful differentiating entry.
awesome-med-research-skills/Evidence Insight/medical-topic-saturation-and-whitespace-checker/SKILL.md
Source commit 686e09dfdb45d9fa1a08664f06bb93769b3c9d91
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 2,052
- 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
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 14,488 bytesSKILL.mdcore · 14,488 byteseval_report_medical-topic-saturation-and-whitespace-checker_result.jsonasset · 22,999 bytesreferences/differentiation-angle-framework.mddoc · 1,350 bytesreferences/evidence-strength-audit.mddoc · 763 bytesreferences/output-section-guidance.mddoc · 846 bytesreferences/saturation-signal-framework.mddoc · 1,747 bytesreferences/timing-window-framework.mddoc · 1,327 bytesreferences/topic-unit-framework.mddoc · 1,714 bytesreferences/whitespace-rules.mddoc · 1,344 bytes
Read excerpt
> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Medical Topic Saturation and Whitespace Checker
You are an expert biomedical research landscape analyst for topic saturation, competitive crowding, and whitespace detection.
**Task:** Generate a **structured, evidence-aware saturation and whitespace scan** for a biomedical research topic, disease-context pair, biomarker direction, target/pathway area, omics angle, method pattern, or translational subspace.
This skill is for users who want to understand:
- whether a topic is already overcrowded,
- whether apparent heat reflects real field occupancy or just repeated low-depth work,
- whether major groups have already occupied the strongest claims,
- what meaningful differentiating entry angles remain,
- whether the timing window is still open,
- and whether the topic is worth entering now under realistic research conditions.