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。
Implements high-performance Retrieval Augmented Generation (RAG) pipelines including document chunking, vector database integration, and semantic search.
Orchestrates end-to-end MLOps pipelines from data ingestion and preparation to model training, validation, and production deployment.
Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and systematic benchmarking.
Transforms raw analytics into persuasive business narratives through structured storytelling, visualization techniques, and executive-ready frameworks.
Optimizes Apache Spark jobs through advanced partitioning, memory management, and shuffle performance tuning.
Designs and executes rigorous qualitative data collection protocols for interviews, focus groups, and systematic observations.
Transforms raw medical consultation data into structured health assessments and actionable care recommendations.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Implements and optimizes advanced search strategies including semantic, hybrid, and reranking for high-performance RAG systems.
Deploys and manages enterprise-grade AI/ML workloads on SAP Business Technology Platform using SAP AI Core and AI Launchpad.
Develops and deploys in-database machine learning models using the SAP HANA Python Client (hana-ml).
Extracts text, tables, and metadata from PDF, DOCX, and HTML documents to power RAG pipelines and data processing workflows.
Integrates ElevenLabs Scribe v1 for high-accuracy speech-to-text transcription across 99 languages with speaker diarization.
Integrates SAP AI Core and Generative AI Hub services into enterprise JavaScript and Java applications.
Monitors machine learning experiment progress, SLURM job queues, and model checkpoint status across distributed computing environments.
Designs, analyzes, and generates protein sequences and structures using Evolutionary Scale Modeling (ESM3 and ESM C).
Streamlines the integration and testing of Gemma 3 270M models within the Claude Code environment.
Identifies outliers and unusual patterns in datasets using advanced machine learning algorithms to uncover fraud, defects, or security threats.
Automates the transition of time-series forecasting pipelines from TimeGPT-1 to the enhanced TimeGPT-2 architecture.
Distills experiment reports and logs into actionable project skills and troubleshooting documentation.
Implements production-ready RAG pipelines and advanced retrieval strategies using LlamaIndex templates and scripts.
Generates publication-quality scientific diagrams, neural network architectures, and technical flowcharts using specialized Python libraries.
Automates Benchling life sciences R&D operations including registry management, inventory tracking, and electronic lab notebook (ELN) documentation.
Optimizes trading strategy execution by removing redundant heuristic pattern filters that conflict with Reinforcement Learning model signals.
Generates high-fidelity videos and synchronized audio using Google Veo 3.1 via the Vertex AI API.
Architects scalable AI memory systems with optimized retention, storage backends, and multi-level context patterns.
Optimizes segmentation, feature extraction, and spatial analysis workflows for high-dimensional multiplex immunofluorescence imaging data.
Optimizes Python dataclasses for memory efficiency, immutability, and validation using advanced PEP 557 patterns.
Implements and benchmarks advanced document chunking strategies to optimize retrieval performance and context preservation in RAG pipelines.
Optimizes Large Language Model (LLM) prompts to minimize token consumption, reduce operational costs, and enhance response quality.
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