菜单
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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
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.
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.
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.
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.
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?"
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.
基于 SOC 职业分类
| name | deal-analysis |
| description | 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. |
| user-invocable | false |
Analyze pharmaceutical transactions for due diligence, deal sourcing, and competitive intelligence.
find_deals(query, limit, effort) — Search M&A, licensing, collaborations by company, drug, indication, deal type, valuefind_drugs(query, limit, effort) — Get asset details for deal contextfind_companies(query, limit, effort) — Get company profiles for buyer/seller contextfind_trials(query, limit) — Clinical stage of deal assetsgosset_agent(prompt) — Deep research on deal rationale and market contextfind_deals(query="[company A] [company B] [drug/indication]", limit=10)
find_drugs(query="[drug in deal]", limit=10, effort="high")
find_deals(query="[indication] licensing 2024 2025", limit=50, effort="high")
find_deals(query="[target/modality] M&A", limit=30)
Build a comparables table:
| Date | Buyer | Seller | Asset | Phase | Indication | Deal Type | Upfront ($M) | Total ($M) | Royalties |
|---|
| Phase at Deal | Typical Upfront Range | Typical Total Range |
|---|---|---|
| Preclinical | $10-50M | $200M-1B |
| Phase 1 | $25-150M | $500M-2B |
| Phase 2 | $50-500M | $1-5B |
| Phase 3 | $200M-2B | $2-10B |
| Approved | $500M-5B+ | $2-20B+ |
gosset_agent(prompt="What is the strategic rationale for [buyer] acquiring/licensing [asset] from [seller]? Consider pipeline fit, competitive positioning, and commercial synergies.")