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。
Manages NebulaOS LLM infrastructure including provider routes, API keys, model catalogs, and cost monitoring.
Implements high-rigor evaluation frameworks with bias mitigation and pairwise comparisons for mission-critical AI outputs.
Optimizes LLM API expenditures through intelligent model routing, budget guardrails, and efficient prompt caching patterns.
Develops reactive Python notebooks and interactive dashboards using the marimo framework.
Fetches and analyzes global economic events and market-moving indicators using the Financial Modeling Prep API.
Analyzes fitness training data to provide professional running coaching feedback based on the Bakken Norwegian Model.
Manages complex spreadsheet creation, data analysis, and formula-driven financial modeling with high precision.
Automates the creation, editing, and analysis of professional Excel workbooks with dynamic formulas and industry-standard financial modeling.
Streamlines single-cell RNA-seq analysis using standardized AnnData and Scanpy workflows.
Generates high-performance interactive visualizations using Plotly Express and Graph Objects patterns.
Optimizes LLM context windows to maximize reasoning quality while minimizing token costs and latency.
Implements modern R programming patterns focusing on tidyverse efficiency, metaprogramming, and performance-optimized package development.
Streamlines single-cell transcriptomics workflows using standardized scverse, AnnData, and Scanpy implementation patterns.
Streamlines Snakemake pipeline development using modular patterns and compact rule definitions for reproducible data science.
Analyzes phosphoproteomics data using R to identify differential post-translational modification abundance, stoichiometry, and kinase activity.
Constructs sophisticated Gnostic agent workflows using a structured DSL built on LangGraph's execution substrate.
Provides comprehensive guidance and best practices for designing, building, and scaling production-grade AI systems and machine learning pipelines.
Queries the ClinicalTrials.gov API v2 to retrieve comprehensive data on clinical studies worldwide for research, patient matching, and data analysis.
Navigates and documents the NeuroScript standard library for composing complex neural architectures.
Implements an efficient, path-independent caching system for expensive file processing tasks using SHA-256 content hashes.
Queries the STRING database to analyze protein-protein interaction networks and perform functional enrichment for systems biology research.
Queries the ClinicalTrials.gov API v2 to retrieve, filter, and export detailed clinical study data for research and patient matching.
Performs automated code reviews on R scripts and Quarto documents to ensure reproducibility and statistical correctness in economics research.
Accesses and searches the ZINC22 database of 230M+ purchasable compounds for virtual screening and lead discovery.
Analyzes protein-protein interaction networks and performs functional enrichment using the STRING database REST API.
Generates high-fidelity synthetic FHIR patient data from PheKB clinical phenotype definitions using Synthea and UMLS.
Generates structured AG2 ConversableAgents with integrated tool functions and optimized LLM configurations.
Manages high-performance model I/O for the MbTorch framework, supporting ONNX, safetensors, and native binary formats with strict validation.
Implements autonomous multi-agent group chats using LLM-driven agent selection for dynamic and unpredictable conversation flows.
Standardizes and automates project scaffolding, organization, and documentation for machine learning pipelines within the haipipe workspace.
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