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。
Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and financial modeling standards.
Builds and manages complex signal processing flowgraphs and custom Python blocks for Software Defined Radio (SDR) applications.
Accesses the UniProt REST API to perform comprehensive protein searches, sequence retrieval, and cross-database identifier mapping.
Optimizes Large Language Model performance through advanced prompt design patterns, agentic architectures, and comprehensive evaluation frameworks.
Automates the end-to-end development of AI Agent systems using popular frameworks like LangGraph, AutoGen, and CrewAI.
Evaluates US equities using institutional-grade fundamental analysis, DCF valuation modeling, and financial quality scoring.
Provides a comprehensive Clojure library for symbolic mathematics, automatic differentiation, and classical mechanics simulation based on SICM concepts.
Implements adaptive learning and high-performance trajectory tracking for autonomous agents using the AgentDB vector backend.
Implements massively parallel functional computation using interaction nets and GPU-accelerated graph reduction.
Creates journal-ready, publication-quality scientific figures with standardized styling, multi-panel layouts, and colorblind-safe palettes.
Provides high-performance, bidirectional data navigation and transformation for Julia collections, S-expressions, and ACSets.
Integrates deterministic color generation with bisimulation game semantics and GF(3) conservation verification.
Analyzes and manipulates data patterns using Gestalt perceptual principles and topological logic to identify emergent structures.
Facilitates creative scientific ideation by generating hypotheses, exploring interdisciplinary connections, and challenging research assumptions.
Analyzes planetary intelligence and crypto-geographic data using AI2 OlmoEarth foundation models optimized for Apple Silicon.
Implements high-performance LLVM-level automatic differentiation for Julia code on both CPU and GPU architectures.
Generates professional, publication-ready clinical decision support documents and biomarker-stratified cohort analyses for pharmaceutical and clinical research.
Performs category-theoretic graph transformations and declarative data structure rewrites using DPO, SPO, and SqPO techniques.
Axiomatizes the directed interval (0 → 1) to model irreversible processes, time-directed homotopy, and chemical reaction pathways.
Extracts and verifies information deltas between Claude.ai conversation exports using ACSets morphisms and bisimulation verification.
Models and analyzes dynamical systems on graphs to evaluate qualitative behaviors like stability, sinks, and bifurcations.
Generates complex declarative vector graphics and scientific visualizations using the Haskell Diagrams embedded domain-specific language.
Performs comprehensive differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
Performs constraint-based reconstruction and analysis (COBRA) of metabolic models for systems biology and metabolic engineering.
Automates biological computation tasks including sequence analysis, structural bioinformatics, and programmatic NCBI database access.
Computes shortest paths on spherical surfaces and Riemannian manifolds for navigation, aviation routing, and spatial analysis.
Analyzes the asymptotic stability of dynamical systems using the LaSalle Invariance principle to determine long-term qualitative behavior.
Analyzes dynamical systems to identify measures preserved by flow and evaluate qualitative stability behavior.
Measures and rewards AI learning through the derivative of data compression efficiency to enable intrinsic curiosity and creative exploration.
Analyzes single-cell omics data using probabilistic models for tasks like batch correction, dimensionality reduction, and differential expression.
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