data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Interfaces with the European Nucleotide Archive to retrieve genomic sequences, raw reads, and metadata for bioinformatics workflows.
Automates the end-to-end process of conducting systematic literature reviews and generating academic-grade reports with verified citations.
Automates the creation, editing, and analysis of professional-grade Excel spreadsheets with dynamic formulas and industry-standard formatting.
Queries the Open Targets Platform to identify and prioritize therapeutic drug targets using genetic and clinical data.
Builds and deploys serverless bioinformatics workflows using the Latch SDK and cloud-native infrastructure.
Detects hardware capabilities and provides optimized computational strategies for resource-intensive scientific tasks.
Generates testable, evidence-based scientific hypotheses and experimental designs across multiple research domains.
Evaluates research rigor and methodology to assess the validity of scientific claims and experimental designs.
Generates publication-ready, journal-standard scientific figures and multi-panel layouts using Matplotlib, Seaborn, and Plotly.
Implements production-ready RAG pipelines and advanced retrieval strategies using LlamaIndex templates and scripts.
Generates professional, evidence-based clinical decision support documents and pharmaceutical cohort analyses in publication-ready LaTeX format.
Generates testable, evidence-based scientific hypotheses and structured experimental designs across research domains.
Queries the Reactome database to perform biological pathway analysis, gene enrichment, and molecular interaction mapping for systems biology research.
Evaluates the rigor of scientific research by assessing methodology, statistical validity, and potential biases using established frameworks like GRADE and Cochrane.
Converts diverse file formats and office documents into clean, LLM-ready Markdown for improved AI processing.
Conducts systematic, multi-database literature reviews and meta-analyses with verified academic citations and professional PDF output.
Architects scalable AI memory systems with optimized retention, storage backends, and multi-level context patterns.
Accesses and interprets NCBI ClinVar data to evaluate the clinical significance and pathogenicity of human genetic variants.
Implements high-performance data processing pipelines using pandas, polars, and PySpark best practices.
Implements and benchmarks advanced document chunking strategies to optimize retrieval performance and context preservation in RAG pipelines.
Guides the full-arc CRAN submission workflow for R packages, from initial preparation and check triage to reviewer responses.
Optimizes LLM performance and reliability through advanced prompting techniques like few-shot learning and chain-of-thought reasoning.
Facilitates direct interaction with OpenAI GPT models through a command-line interface within the Claude environment.
Delegates complex tasks and analysis to Google's Gemini models directly within your Claude Code environment.
Generates publication-quality scientific diagrams and technical visualizations using AI-powered quality review and iterative refinement.
Guides researchers through complex mixed methods study designs using systematic qualitative and quantitative integration patterns.
Architects optimized quantitative research designs, experimental methodologies, and sampling strategies using an enhanced three-phase validation process.
Builds and validates psychometrically sound measurement instruments for social science research.
Automates and guides systematic qualitative data coding, theme development, and rigorous research methodology implementation.
Orchestrates comprehensive meta-analysis workflows with multi-gate validation to ensure data integrity and statistical accuracy.
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