Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
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.
Builds sophisticated Retrieval-Augmented Generation systems to ground LLM applications in external knowledge and proprietary data.
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.
Transcribes audio files locally using whisper.cpp with CUDA acceleration for high-performance speech-to-text conversion.
Implements high-performance semantic vector search and document retrieval using AgentDB's ultra-fast HNSW indexing and quantization.
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.
Streamlines the development and management of genomics pipelines on the DNAnexus cloud platform.
Integrates Benchling’s life sciences platform with Claude to automate laboratory workflows, manage biological registry entities, and sync inventory data via API.
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.
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.
Optimizes vector search performance by tuning HNSW parameters, quantization strategies, and search infrastructure scaling.
Select and optimize embedding models and chunking strategies for RAG, semantic search, and domain-specific vector applications.
Calculates comprehensive portfolio risk metrics and performance indicators to ensure robust capital preservation and institutional-grade risk management.
Implements high-performance similarity search and vector database patterns for RAG and semantic retrieval systems.
Designs and implements sophisticated LLM applications using LangChain's agents, memory systems, and modular chain patterns.
Builds robust, production-grade backtesting systems for trading strategies while mitigating common pitfalls like look-ahead and survivorship bias.
Implements advanced hybrid search architectures combining vector similarity and keyword matching for superior information retrieval.
Downloads Weights & Biases plots and generates comprehensive metric charts from experiment runs.
Downloads and generates high-quality metric visualizations from Weights & Biases experiment runs directly within Claude.
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