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gosset-ai
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gosset-ai

1 件の GitHub リポジトリにある 10 件の収集済み skills をリポジトリ単位で表示します。

収集済み skills
10
リポジトリ
1
更新
2026-03-13
リポジトリエクスプローラー

リポジトリと代表的な skills

clinical-trial-design
医学科学者(疫学者除く)

Assess clinical trial design feasibility for biopharma due diligence. Evaluates patient population, biomarker prevalence, endpoint selection, comparator analysis, enrollment projections, and regulatory precedent. Use when users ask about trial design, feasibility assessment, enrollment projections, endpoint strategy, or trial success probability.

2026-03-13
clinical-trials-search
その他医師

Search and analyze clinical trials for competitive intelligence. Find trials by drug, target, indication, sponsor, phase, or status. Use when users ask about clinical trials, enrollment, trial design, or competitive trial landscapes.

2026-03-13
competitive-intelligence
データサイエンティスト

Comprehensive competitive intelligence for biopharma assets and indications. Analyzes competitive landscape, pipeline positioning, differentiation, and market dynamics. Use when users ask about competitive landscape, market positioning, pipeline comparison, or competitive threats.

2026-03-13
deal-analysis
財務・投資アナリスト

Analyze biopharma deals (M&A, licensing, collaborations) for due diligence and competitive intelligence. Evaluates deal terms, comparables, valuations, and strategic rationale. Use when users ask about deal analysis, transaction comparables, licensing terms, M&A valuation, or deal flow.

2026-03-13
drug-repurposing
医学科学者(疫学者除く)

Identify drug repurposing candidates using target-based, compound-based, and disease-driven strategies. Searches existing drugs for new therapeutic indications by analyzing targets, clinical data, safety profiles, and deal precedents. Use when exploring repurposing opportunities, new indications for approved drugs, or therapeutic alternatives.

2026-03-13
drug-target-validation
医学科学者(疫学者除く)

Comprehensive computational validation of drug targets for due diligence. Evaluates targets across multiple dimensions — disease association, druggability, clinical precedent, safety, competitive landscape. Produces a quantitative Target Validation Score with GO/NO-GO recommendation. Use when users ask about target validation, druggability, or "is X a good drug target for Y?"

2026-03-13
literature-mining
その他の生物科学者医学科学者(疫学者除く)

Systematic literature mining and evidence synthesis for biopharma research. Automates literature search, screening, data extraction, and synthesis. Use when users ask for literature reviews, evidence synthesis, publication analysis, or systematic searches on a biomedical topic.

2026-03-13
patent-landscape
その他のビジネスオペレーション専門家

Analyze patent landscapes for biopharma assets, targets, and therapeutic areas. Covers prior art, freedom-to-operate, patent expiry, IP positioning, and competitive IP mapping. Use when users ask about patents, IP landscape, freedom to operate, patent cliffs, or exclusivity.

2026-03-13
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gosset-ai Agent Skills | SkillsMP