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。
Accesses and analyzes NCBI Gene Expression Omnibus (GEO) data for transcriptomics and functional genomics research.
Implements and optimizes reinforcement learning agents using the Stable Baselines3 library for PyTorch.
Leverages a multi-model ensemble to provide diverse, parallel insights from GPT, Gemini, and Claude for complex problem-solving.
Implements adaptive learning and high-performance trajectory tracking for autonomous agents using the AgentDB vector backend.
Bridges neural network sparsity research with Unison’s content-addressed ability system to optimize sparse computation and scaling.
Implements Mazzola's topological gesture theory to model continuous performance curves and expressive transitions.
Enables structured generation and algebraic composition of n-ary operations using colored operads.
Facilitates topological data integration and autopoietic skill evolution within the worldmat framework.
Facilitates self-evolving topological aggregations and pattern recognition within the Gay MCP framework.
Implements mathematical gesture theory to bridge structural forms with dynamic performance trajectories using topological categories.
Implements Yang-Baxter equation calculus for quantum integrable systems, R-matrix verification, and vertex model weight computation.
Facilitates topological diffusion and autopoietic learning patterns within the Model Context Protocol framework.
Performs deterministic color-coded uncertainty propagation and gamut-aware probability distribution analysis.
Implements ternary cognitive superposition for advanced AI reasoning using balanced trits and autopoietic self-propagation.
Integrates the COSMIC cancer mutation database into bioinformatics workflows for somatic mutation analysis and precision oncology research.
Analyzes planetary intelligence and crypto-geographic data using AI2 OlmoEarth foundation models optimized for Apple Silicon.
Extracts and structures algorithm pseudocode from academic research papers into actionable implementation plans.
Interacts with the Replicate AI platform to run models, manage deployments, and perform fine-tuning directly from the command line.
Creates journal-ready, publication-quality scientific figures with standardized styling, multi-panel layouts, and colorblind-safe palettes.
Automates the end-to-end scientific research pipeline from initial hypothesis generation to publication-ready LaTeX manuscripts.
Integrates the Reactome pathway database to perform biological enrichment analysis, gene mapping, and molecular interaction queries for systems biology research.
Provides unified access to over 20 genomic databases for sequence analysis, protein structure prediction, and gene expression queries.
Optimizes LLM performance by implementing token-efficient context management strategies for AI agents and tools.
Converts PDFs, Office documents, and images into high-quality WebP pages optimized for Vision Language Model analysis.
Decomposes complex computational problems into three GF(3)-balanced components for optimized parallel execution and sheaf-theoretic gluing.
Processes mass spectrometry data, standardizes metadata, and calculates spectral similarities for metabolomics workflows.
Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and financial modeling standards.
Parses and manipulates Flow Cytometry Standard (FCS) files, enabling seamless conversion to NumPy arrays and DataFrames for biological data analysis.
Transcribes handwritten historical documents into machine-readable text and archival formats using advanced HTR models.
Evaluates the credibility and quality of information sources using standardized scientific frameworks and the CRAAP test.
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