data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Identifies and maps transcription factor binding motifs within genomic regions like ChIP-seq and ATAC-seq peaks using HOMER.
Provides standardized C++20 implementations for high-performance numerical computing, matrix operations, and parallel I/O.
Applies perceptually uniform colormaps and accessible visual styling to data visualizations using Colorcet and the HoloViz ecosystem.
Optimizes vector embedding selection and text chunking strategies for production-grade RAG and semantic search applications.
Simplifies the creation of policy impact analyses, research dashboards, and tax-benefit microsimulations using standardized patterns.
Automates the intelligent ingestion of Excel and Word documents into MXCP servers for structured querying and semantic search.
Simplifies the creation of interactive, publication-quality visualizations using hvPlot and HoloViews within the HoloViz ecosystem.
Integrates enterprise-grade AI capabilities into SAP BTP applications using the SAP Cloud SDK for AI for JavaScript/TypeScript and Java.
Quantifies CpG-level methylation variability and epigenetic heterogeneity from whole-genome bisulfite sequencing data using standardized statistical workflows.
Implements play/coplay arena theory for autopoietic closure and learning through GF(3) conservation.
Performs vector similarity search and hierarchical clustering for agent skills using P-adic ultrametrics and MLX-powered embeddings.
Integrates differential methylation and gene expression datasets to identify coordinated epigenetic regulation patterns and classify regulatory relationships.
Performs sophisticated technical analysis and generates trading signals using TA-Lib and OpenAlgo market data.
Trains and deploys complex neural networks across distributed E2B sandbox environments using the Flow Nexus framework.
Generates structured plans to decompose complex AI include chains into modular, reusable components.
Enables deep, multi-step chain-of-thought reasoning for complex problem-solving and logic verification within Claude.
Builds, optimizes, and debugs LLM prompts and technical documentation using advanced prompt engineering patterns and brutal concision.
Architects complex multi-agent systems and workflows using standardized patterns across major AI frameworks.
Automates the end-to-end scientific research lifecycle from initial data analysis and hypothesis generation to the production of publication-ready LaTeX manuscripts.
Integrates Ollama into projects for local AI inference, model management, and streaming API implementation.
Performs Gene Ontology and KEGG pathway enrichment analysis from genomic regions or gene lists with automated R-based visualizations.
Standardizes the integration and optimization of Large Language Models through live research protocols and production-grade engineering patterns.
Manages multi-model access, fallbacks, and cost-based routing using OpenRouter and LiteLLM.
Masters the art of prompting by treating LLMs like senior engineers through goal-oriented instructions and clear role definition.
Coordinates multi-agent systems and state transitions using GF(3) Galois Field conservation principles.
Extracts behavioral patterns and trains cognitive learning agents from interaction sequences.
Generates and analyzes Chemical Reaction Network (CRN) hypergraph structures to predict dynamical behaviors like stability and oscillations.
Implements local univalence and complete Segal space semantics for synthetic infinity-category theory and topological chemistry.
Analyzes and models complex dynamical systems using ergodicity principles where time averages equate to space averages.
Verifies GF(3) symmetry conservation and Markov blanket integrity across renormalization group flows for cybernetic system stability.
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