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Evidence-graded guidance to translate tumor molecular profiles into prioritized treatment options, resistance analysis, and clinical trial matches using curated
Provides a clinical-focused workflow that interprets tumor molecular profiles and returns prioritized, evidence-graded treatment recommendations. It integrates curated sources (CIViC, OncoKB, ClinVar), checks FDA approval hierarchy, searches trials, and analyzes likely resistance mechanisms to propose next steps.
Use in clinical decision-support scenarios where a cancer type and molecular alterations are available and clinicians need prioritized therapy options, resistance explanations, or trial eligibility leads. Not for definitive clinical decisions without human oncologist review.
Best for medically-oriented agent toolchains with access to biomedical databases and literature tools (specialist research agents, ToolUniverse integrations, Claude/GPT agents with medical tool access). Requires human oversight for clinical use.
Precision oncology treatment advisor skill with no bundled scripts. SKILL.md is exceptionally well-structured with detailed domain reasoning, evidence hierarchy, resistance mechanism patterns, and phase-based workflow. No security concerns — purely instructional content referencing legitimate medical databases. Would be highly valuable for clinical decision support use cases.
Excellent skill documentation quality. Phase-based workflow is clear and actionable. Phase 0 tool parameter corrections table is a nice touch. Cross-skill reference to drug-drug interaction skill shows good composability.