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。
Develops and manages reactive Python notebooks that function as pure-code files, interactive data apps, and reproducible scripts.
Streamlines computational molecular biology tasks including sequence analysis, biological file parsing, and programmatic NCBI database access.
Architects sophisticated LLM applications using LangChain patterns for agents, memory management, and complex workflow orchestration.
Streamlines the analysis of high-density neural recordings from Neuropixels probes through automated preprocessing, spike sorting, and quality curation.
Deploys and optimizes fine-tuned LLMs using native Unsloth kernels, vLLM, or SGLang for high-performance production serving.
Builds sophisticated, interactive data visualizations and custom SVG-based charts using the D3.js library.
Processes and analyzes whole-slide pathology images using advanced machine learning, spatial graph construction, and multiparametric imaging workflows.
Deploys and runs Python applications on serverless cloud infrastructure with automatic scaling and GPU acceleration.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and comparative benchmarking.
Creates, edits, and analyzes professional Excel workbooks with dynamic formulas, automated recalculation, and industry-standard formatting.
Prevents Jupyter notebook hangs by explicitly managing CuPy GPU memory pools and Python garbage collection.
Retrieves nucleotide sequences, raw sequencing reads, and metadata from the European Nucleotide Archive for genomics research.
Accelerates the development of financial models and UI components by building and running functional code immediately for instant visual feedback.
Streamlines the development of AI-powered features within the Moodle LMS using the official AI Subsystem for version 4.5 and above.
Analyzes global investments through the lens of power structures, ethical constraints, and geopolitical alignments.
Manages and routes requests across multiple AI providers including Anthropic, Ollama, and HuggingFace.
Accesses AI-ready drug discovery datasets and benchmarks for therapeutic machine learning and pharmacological prediction.
Analyzes protein and molecular structures through AlphaFold interpretation, quality validation metrics, and comparative structural techniques.
Automates protein testing and validation through a cloud-based laboratory platform for accelerated biotechnological research and sequence optimization.
Optimizes semantic search and RAG applications by selecting, implementing, and fine-tuning high-performance embedding models and chunking strategies.
Automates the end-to-end scientific research pipeline from hypothesis generation and data analysis to publication-ready LaTeX manuscripts.
Streamlines scientific development on HPC environments using multi-root workspaces and automated test data extraction.
Implements queue-based GPU allocation and memory cleanup patterns to prevent OOM crashes and ensure reliable progress tracking in parallel workflows.
Implement advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production environments.
Automates the creation of robust data ingestion providers using standardized patterns for registry mapping, storage abstraction, and metadata tracking.
Creates, edits, and analyzes sophisticated Excel spreadsheets with advanced formula support and industry-standard financial formatting.
Calculates implied gold prices and sovereign backing ratios to stress-test currency stability in scenarios where the USD loses its reserve status.
Provides programmatic access to global statistical data for demographic, economic, and environmental research.
Implement comprehensive evaluation strategies for AI applications using automated metrics, LLM-as-judge patterns, and human feedback.
Designs, simulates, and executes quantum circuits using Google's Cirq framework for NISQ-era hardware and noise-aware algorithms.
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