By anthropics
Query target-disease associations, genetics, and drug discovery insights from the Open Targets platform to support systematic identification and prioritisation of potential therapeutic drug targets.
External network access
Connects to servers outside your machine
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npx claudepluginhub anthropics/life-sciences --plugin open-targetsDocument processing suite — Excel (xlsx), Word (docx), PowerPoint (pptx), and PDF generation and manipulation.
Anthropic's production Excel skill - read, analyze, create and edit .xlsx workbooks with formulas, formatting and charts. The most finance-relevant skill there.
Anthropic's production Word skill — create and edit .docx with tracked changes. For memos, technical accounting papers and reports.
Anthropic's production PDF skill — extract text and tables, fill forms and generate PDFs. Essential for financial statements, contracts and scanned invoices.
Anthropic's production PowerPoint skill — create and edit .pptx decks. The render layer for board and management packs.
Access ClinicalTrials.gov data. The Clinical Trials Connector gives Claude access to ClinicalTrials.gov, the NIH/NLM registry of FDA-regulated clinical studies conducted worldwide.
20 ENCODE API tools + 47 expert skills for genomics research. Search experiments, download files with MD5 verification, run pipelines, and cross-reference 14 databases.
1000+ scientific tools (PubMed, UniProt, PubChem, TCGA, FAERS, ClinicalTrials.gov, etc.) + 115 research skills + MCP server + research slash commands.
Life sciences computational skills for scientific AI agents — 197 skills covering genomics, proteomics, drug discovery, biostatistics, scientific computing, and scientific writing
Bioinformatics-native AI agent skill library — pharmacogenomics, ancestry, scRNA-seq, metagenomics, variant annotation, genome comparison, and more. 24 skills with deterministic Python execution, reproducibility bundles, and local-first privacy.
Connect to preclinical research tools and databases (literature search, genomics analysis, target prioritization) to accelerate early-stage life sciences R&D