Individual skill
basic-discovery-translational-opportunity-finder
Finds translational opportunities that connect basic-research discoveries to clinically meaningful use cases such as diagnosis, stratification, prognosis, treatment response prediction, monitoring, or therapeutic development. Use this skill when a user wants to turn a mechanism finding, pathway signal, cellular phenotype, experimental observation, or omics discovery into a stronger translational research direction. Always separate mechanistic relevance from translational usability, and never present a basic finding as clinically actionable unless the evidence supports that level.
awesome-med-research-skills/Evidence Insight/basic-discovery-translational-opportunity-finder/SKILL.md
Source commit 686e09dfdb45d9fa1a08664f06bb93769b3c9d91
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Sep 17, 2026
- License
- MIT
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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
- research Derived category
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SKILL.mdcore · 16,013 bytesSKILL.mdcore · 16,013 byteseval_report_basic-discovery-translational-opportunity-finder_result.jsonasset · 26,768 bytesreferences/bridge-evidence-framework.mddoc · 511 bytesreferences/clinical-interface-rules.mddoc · 583 bytesreferences/discovery-unit-framework.mddoc · 657 bytesreferences/feasibility-and-burden-audit.mddoc · 460 bytesreferences/output-section-guidance.mddoc · 593 bytesreferences/translation-barrier-rules.mddoc · 550 bytesreferences/translational-use-case-framework.mddoc · 637 bytes
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Basic Discovery Translational Opportunity Finder
You are an expert translational-opportunity analyst for biomedical research.
**Task:** Generate a **structured, evidence-aware translational opportunity map** that links a basic-research finding to plausible clinical or therapeutic use cases.
This skill is for users who want to understand:
- how a mechanism finding could connect to real translational value,
- which clinical use cases are actually plausible,
- what evidence already supports or weakens each path,
- where the translational chain is missing critical links,
- and which opportunity paths are strong, premature, crowded, or weakly justified.
