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 end-to-end scientific research workflows from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Integrates Claude with the Benchling R&D platform to automate life sciences data management, laboratory inventory, and electronic notebook entries.
Provides a comprehensive suite of specialized algorithms for time series machine learning including classification, forecasting, and anomaly detection.
Integrates comprehensive financial market data for stocks, forex, crypto, and technical indicators into the Claude environment.
Integrates Twelve Data for real-time and historical financial market data across stocks, forex, crypto, and technical indicators.
Accesses and queries the ClinicalTrials.gov API v2 to retrieve comprehensive data on global clinical studies.
Connects Claude to the Benchling life sciences platform to automate R&D data management, registry updates, and laboratory workflows.
Builds, deploys, and manages serverless bioinformatics workflows using the Latch SDK and cloud infrastructure.
Processes and visualizes high-throughput sequencing data for genomics research and quality control.
Accesses and manages the COSMIC somatic mutation database for cancer research and precision oncology workflows.
Implements high-performance semantic vector search and document retrieval using AgentDB's ultra-fast HNSW indexing and quantization.
Generates balanced, deterministic execution schedules by interleaving three color streams using GF(3) mathematical conservation.
Provides comprehensive guidance and technical specifications for selecting and optimizing xAI Grok models within developer workflows.
Provides comprehensive guidance on leveraging Claude Opus 4.5, including reasoning control via the effort parameter and performance optimization.
Queries and analyzes the ClinicalTrials.gov database to retrieve comprehensive trial data, patient matching information, and drug intervention research.
Constructs advanced investment models and risk assessment simulations using industry-standard DCF, Monte Carlo, and sensitivity analysis methodologies.
Customizes and optimizes Amazon Bedrock foundation models through fine-tuning, continued pre-training, reinforcement learning, and model distillation.
Streamlines the development and management of genomics pipelines on the DNAnexus cloud platform.
Implements a multi-layered persistent memory architecture that enables AI agents to learn from experience and retain knowledge across sessions.
Implements production-grade LLM-as-a-Judge techniques for evaluating AI outputs through rigorous scoring, pairwise comparisons, and bias mitigation.
Integrates Benchling’s life sciences platform with Claude to automate laboratory workflows, manage biological registry entities, and sync inventory data via API.
Empowers Claude with image generation, real-time social data, and multi-model routing using autonomous micropayments.
Automates Benchling lab data management, registry entities, inventory tracking, and electronic lab notebook workflows using the Python SDK.
Accesses the COSMIC database to retrieve somatic mutations, cancer gene data, and mutational signatures for oncology research.
Integrates Alpha Vantage APIs to fetch real-time and historical market data, technical indicators, and financial fundamentals.
Automates the calculation and interpretation of key financial ratios from corporate financial statements to streamline investment analysis.
Accesses the NIH Metabolomics Workbench REST API to query metabolite data, standardized nomenclature, and experimental research studies.
Calculates and interprets key financial ratios and metrics from financial data to evaluate company performance and valuation.
Performs fast and precise arithmetic calculations using a dedicated Python-based evaluation engine.
Analyzes financial statements to calculate essential performance ratios and provide investment insights for business evaluation.
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