发现data science & ml类别的 Claude 技能。浏览 61 个技能,找到适合您 AI 工作流程的完美功能。
Leverages a multi-model ensemble to provide diverse, parallel insights from GPT, Gemini, and Claude for complex problem-solving.
Simulates complex physical systems using acausal equation-based modeling and Wolfram Language integration.
Implements Yang-Baxter equation calculus for quantum integrable systems, R-matrix verification, and vertex model weight computation.
Orchestrates triadic parallel agent dispatch with deterministic seeding and voice-specific locales for high-performance Apple Silicon workflows.
Facilitates solving sheaf-based decision problems and managing structured decompositions within the AlgebraicJulia ecosystem.
Manipulates and analyzes genomic datasets including SAM, BAM, VCF, and FASTA files using a Pythonic interface to htslib.
Parses and manipulates Flow Cytometry Standard (FCS) files, enabling seamless conversion to NumPy arrays and DataFrames for biological data analysis.
Provides a focused development environment for Clojure, Julia, and Python scripting integrated with high-performance media processing and deterministic coloring.
Searches and retrieves life sciences preprints from the bioRxiv database with support for metadata extraction and PDF downloads.
Generates complex declarative vector graphics and scientific visualizations using the Haskell Diagrams embedded domain-specific language.
Optimizes Mojo tensor and array operations using SIMD vectorization to maximize computational throughput on modern hardware.
Calculates time averages of observables along trajectories to analyze qualitative behavior and stability in dynamical systems.
Generates high-performance, structured prompts for LLMs using research-backed techniques like XML tagging, few-shot examples, and chain-of-thought reasoning.
Generates professional, publication-ready clinical decision support documents and biomarker-stratified cohort analyses for pharmaceutical and clinical research.
Performs high-dimensional geometric multi-resolution analysis with deterministic local reconstructability across MATLAB, Julia, and Python.
Analyzes and predicts message stream patterns using triadic GF(3) classification and Hylang-based regime detection.
Performs comprehensive single-cell transcriptomics workflows including quality control, clustering, and trajectory inference using the Scanpy Python framework.
Guides the planning, parameter selection, and documentation of LLM fine-tuning and evaluation experiments.
Delegates complex architectural and algorithmic challenges to Gemini for multi-hypothesis reasoning and deep analysis.
Analyzes complex dynamical systems and strange attractors with sensitive dependence on initial conditions.
Accesses the UniProt REST API to perform comprehensive protein searches, sequence retrieval, and cross-database identifier mapping.
Analyzes large codebases and complex documentation using Gemini 2.5 Pro's massive 1M token context window.
Implements Mazzola's topological gesture theory to model continuous performance curves and expressive transitions.
Extracts narrative arcs, measures token novelty, and generates causality graphs from text and code repositories.
Empowers developers with expert-level statistical modeling, experiment design, and production-grade machine learning workflows.
Applies machine learning to genomic interval data for training region embeddings, analyzing scATAC-seq, and building consensus peak universes.
Accelerates reinforcement learning workflows through high-performance parallel environment simulation and optimized PPO training.
Processes and analyzes biological data using scikit-bio for sequence alignment, phylogenetics, and microbiome diversity studies.
Performs comprehensive differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
Integrates Claude with the OMERO platform to manage, analyze, and automate bioimaging data workflows using the Python API.
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