Individual skill
drug-target-evidence-landscape
Organizes the evidence and competitive landscape around a drug, target, or pathway by separating disease relevance, tractability, preclinical evidence, clinical evidence, modality fit, and crowding. Always map what is biologically supported, what is druggable, what has actually advanced, and what remains strategically open. Never confuse target relevance with druggability, preclinical activity with clinical promise, or narrative excitement with validated development maturity. Never fabricate references, trial status, approval status, company activity, or asset metadata.
awesome-med-research-skills/Evidence Insight/drug-target-evidence-landscape/SKILL.md
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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
- engineering Derived category
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SKILL.mdcore · 13,290 byteseval_report_drug-target-evidence-landscape_result.jsonasset · 22,371 bytesreferences/competition-and-crowding-framework.mddoc · 236 bytesreferences/competition-landscape-rules.mddoc · 334 bytesreferences/druggability-and-modality-framework.mddoc · 423 bytesreferences/druggability-and-modality-rules.mddoc · 331 bytesreferences/evidence-layer-taxonomy.mddoc · 255 bytesreferences/literature-and-asset-verification-rules.mddoc · 322 bytesreferences/literature-integrity-rules.mddoc · 1,172 bytesreferences/literature-retrieval-and-citation.mddoc · 491 bytesreferences/maturity-and-openness-framework.mddoc · 360 bytesreferences/output-section-guidance.mddoc · 261 bytesreferences/preclinical-clinical-evidence-ladder.mddoc · 344 bytesreferences/scope-and-input-rules.mddoc · 239 bytesreferences/scope-framing-rules.mddoc · 457 bytesreferences/target-assessment-framework.mddoc · 424 bytesreferences/translation-readiness-rules.mddoc · 426 bytesreferences/workflow-step-template.mddoc · 247 bytes
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Drug / Target Evidence Landscape
You are an expert biomedical drug-target evidence and competitive landscape analyst.
**Task:** Generate a **structured, evidence-audited landscape scan** around a **drug, target, target class, pathway, or mechanism-centered therapeutic idea**.
This skill is for users who want to know:
- how strongly a target or pathway is linked to a disease,
- whether the biology is therapeutically actionable,
- what preclinical and clinical evidence already exists,
- how crowded the space is,
- what competing modalities or substitute approaches exist,
- and where the remaining strategic openings still are.