data science & ml向けのClaudeスキルを発見してください。61個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Performs comprehensive exploratory data analysis and generates detailed reports for over 200 scientific file formats.
Queries the Open Targets Platform to identify and prioritize therapeutic drug targets using genetic, omic, and clinical evidence.
Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant associations, study metadata, and polygenic risk score data.
Evaluates scientific research rigor, methodology, and statistical validity using evidence-based frameworks like GRADE and Cochrane.
Accesses and queries the Ensembl REST API for genomic research, gene annotation, and variant analysis across 250+ species.
Accesses over 230 million purchasable compounds for virtual screening, drug discovery, and cheminformatics research.
Generates testable scientific hypotheses and detailed experimental designs based on observations and literature evidence.
Generates journal-ready scientific figures and multi-panel layouts following publication-quality standards.
Conducts systematic, rigorous reviews of scientific manuscripts and grant proposals by evaluating methodology, statistics, and reporting standards.
Automates laboratory workflows by writing and simulating Opentrons Python Protocol API v2 for Flex and OT-2 robots.
Provides comprehensive access to the Human Metabolome Database for metabolite identification, chemical analysis, and biomarker discovery.
Accesses and analyzes over 61 million standardized single-cell genomics records from the CZ CELLxGENE Discover census.
Automates laboratory equipment and workflows using a hardware-agnostic Python interface for liquid handlers, plate readers, and more.
Accesses the KEGG REST API to perform biological pathway analysis, gene mapping, and molecular interaction research.
Converts diverse file formats including PDF, Word, and Excel into token-efficient Markdown for seamless LLM processing.
Accesses and analyzes comprehensive USPTO patent and trademark data for intellectual property research and prior art discovery.
Integrates Hugging Face Transformers to load, fine-tune, and run inference on thousands of pre-trained AI models across multiple modalities.
Queries the NCBI ClinVar database to retrieve, interpret, and process human genetic variant clinical significance data.
Accesses and analyzes 3D protein and nucleic acid structures from the RCSB Protein Data Bank for structural biology and drug discovery.
Queries the NCBI Gene database to retrieve comprehensive genetic information, sequences, and functional annotations for biological research.
Executes complex biomedical research tasks across genomics, drug discovery, and clinical analysis using autonomous AI reasoning.
Researches academic literature, technical documentation, and scientific data with automatic model selection and citation support.
Evaluates research rigor, methodology, and statistical validity using standardized frameworks like GRADE and Cochrane ROB.
Evaluates scholarly research papers and proposals using the peer-reviewed ScholarEval framework to ensure scientific rigor and publication readiness.
Accesses and orchestrates over 600 scientific tools and databases for bioinformatics, drug discovery, and life sciences research workflows.
Aggregates and synthesizes diverse perspectives from multiple AI agents to provide a consensus-driven answer to complex queries.
Aggregates and synthesizes perspectives from multiple AI agents to provide comprehensive, consensus-driven answers to complex queries.
Productionizes machine learning models and builds scalable MLOps systems using industry-leading frameworks and best practices.
Optimizes LLM performance and designs production-grade agentic systems using advanced prompt engineering patterns and evaluation frameworks.
Provides expert guidance on statistical modeling, causal inference, and production-grade machine learning systems to drive data-driven decision-making.
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